- articleFor EU audiovisual accessibility, which text governs the broadcaster's captions/AD, which governs the player or platform, and where does a technical standard like EN 301 549 fit?
Partially verified: the curator re-read S1; S2, S3, S4, S7 were not re-read by the curator and rest on the producer's pinned reading. Two instruments split the work: the AVMSD (2010/13/EU as amended 2018) targets media service providers' own services via Member States, while the EAA targets services and terminals that give access to them (including EPGs).
- articleWhat do EAA Annex I requirements say concretely for AV access services, EPGs, AV consumer terminals and e-books, and what do the non-binding Annex II examples add?
Partially verified: the curator re-read S1; S2 was not re-read by the curator and rests on the producer's pinned reading. Annex I requires services providing access to AV media to transmit access services (SDH subtitles, audio description, spoken subtitles, sign language) fully, with adequate quality, synchronised and under user control, and to make EPGs accessible; it sets no numeric quotas or quality metrics.
- articleWhat options will I meet when a service or device offers 'dialogue boost' or 'enhance dialogue', and do they all work the same way?
Partially verified: the curator re-read S21, S22; S23, S24, S26 were not re-read by the curator and rest on the producer's pinned reading. 'Dialogue boost/enhance' labels cover different mechanisms: device-side processing (Apple tvOS Enhance and Enhance More, the latter stated to possibly alter the original mix), pre-made selectable audio tracks (Amazon Dialogue Boost levels; SVT Enhanced Speech) and encoder-side parametric dialogue metadata (Dolby AC-4, producer reading). Record the mechanism and source before comparing them.
- articleWhat do SAG-AFTRA's contract bulletins (2024) and the 2026 TV/Theatrical MOA say about digital replicas of voice and likeness: definitions, notice, consent, pay and strikes?
Partially verified: the curator re-read S12; S10, S8 were not re-read by the curator and rest on the producer's pinned reading. Under the 2026 SAG-AFTRA MOA (1 July 2026 to 30 June 2030), creating an employment-based digital replica needs at least 48 hours' notice and consent, scans need an articulable business reason, and post-production alterations for noise reduction, timing, pitch or tone and clarity (among others) do not need replica consent. This matters for dialogue cleanup on SAG-AFTRA-covered pictures.
- articleBefore I put AI-generated Foley into a delivery, what per-component rights and provenance checks do the sources imply an audio post agent must make?
A synthesis from the pinned licences and cards: (1) record model, checkpoint and revision; (2) read the weights licence (CC BY-NC, Tencent community licence with Territory limits, or conflicting statements) against the delivery's commercial status; (3) check output clauses (Tencent: no ownership claim but no use to improve other AI models and no use outside the Territory); (4) check each auxiliary component (VAE, Synchformer, vocoder, CLIP) for its own licence; (5) note training-data statements the card disclaims (MMAudio) or omits (HunyuanVideo-Foley paper); (6) log provenance marks (Google V2A research applies SynthID; Veo 3 card cites SynthID) and any required notices; (7) escalate conflicts to a human rights owner. This is a checklist proposal, not legal advice.
- articleWhat do the authors of video-to-audio models say the models get wrong, so I know what not to ask of them?
Documented failure modes cluster: speech and lip sync (MMAudio 'unintelligible mumbles'; Google V2A 'uncanny lip-syncing'; Movie Gen does not support voice), dense, small or occluded motion (Movie Gen: tap dance, footsteps), unfamiliar sound concepts (MMAudio: 'RPG firing'), unrequested music (MMAudio), dependence on clean input video (Google V2A), and long-form or precise-timestamp reasoning (ThinkSound's MLLM). These come from the model authors' own statements; none was reproduced.
- articleI have a silent or AI-generated video clip and want a sound track: what kinds of video-to-audio systems exist, what do they take in and put out, and which of them can I actually run?
Primary sources split into measured open systems (MMAudio, HunyuanVideo-Foley, ThinkSound: video plus optional text in, audio out, weights on Hugging Face), a measured closed system (Meta Movie Gen Audio, 13B, 48 kHz, up to 30 s per pass plus extension, described as research-only), and vendor showcases (Google V2A blog, Veo 3 joint audio) that give no sample rate, duration or sync metric. Sample rate and clip length differ by system; only the open ones can be inspected or run, and their licences differ (see G033 candidates).
- articleWhich container, codec and audio-track settings does OBS Studio document for recording gameplay, and what encoder settings does YouTube ask for when streaming?
Partially verified: the curator re-read S13, S15; S14, S17, S18, S7, S8 were not re-read by the curator and rest on the producer's pinned reading. OBS recommends recording to MKV, because an MKV recording stopped by a crash isn't lost. Hybrid MP4 (OBS 30.2) and Hybrid MOV (OBS 32.0) are also recoverable after crashes or power loss and are easier to edit, but chapter markers are written only when the file is finalised and are lost on a crash.
- articleWhat should an audio describer include first, what may be dropped or moved, and how do ACB, DCMP and Netflix treat identity traits, on-screen text and credits?
Partially verified: the curator re-read S1, S4; S3, S5 were not re-read by the curator and rest on the producer's pinned reading. The guides share a priority rule (story-bearing dialogue, music and effects first; describe what is significant and least obvious from the soundtrack) and differ on identity traits: ACB describes race when known and vital and warns that citing it only for non-white people makes white the default; Netflix lists default visual attributes and forbids guessing; DCMP gates on time and relevance (producer reading for Netflix/DCMP specifics).
- articleConverting a BWF/BW64 master to FLAC and then Ogg Opus: which metadata and channel information does each format's standard give a place for, and which has none?
Partially verified: the curator re-read none of the cited sources; S10, S7, S8, S9 rest on the producer's pinned reading. BW64 carries bext and ADM (chna links tracks to ADM IDs), FLAC can carry Vorbis comments and foreign RIFF/W64/AIFF chunks in application blocks, and Ogg Opus carries Vorbis-style comments with R128 gains and a different channel order; no standard read defines a mapping of bext TimeReference or ADM chna into FLAC or Opus, so preservation of that metadata is tool-specific (producer synthesis, not executed).
- articleWhat do Google's public pages say SynthID can detect, how robust it is, and under what terms can its code or detector be used?
Partially verified: the curator re-read S21, S22; S19, S20, S23 were not re-read by the curator and rest on the producer's pinned reading. Of Google DeepMind's SynthID family, only the text watermark has public code: an Apache-2.0 reference implementation that is explicitly not for production, with a production version in Hugging Face Transformers. DeepMind's image, video and audio watermark claims (robust to cropping, filters, compression) give no numbers, and per the producer's reading Google's developer docs say text detection is probabilistic and weakened by rewriting or translation.
- articleIs sox_ng actually confirmed vulnerable to CVE-2026-111157 (MS ADPCM WAV heap overflow), and did the maintainer commit to a fix? As of 2026-10-23 the public thread shows a reproduced crash but also unresolved doubt about whether the report matches sox_ng code.
Problem. Candidate R5-03 states, for sox_ng issue 877, that a participant reports the PoC crashes current sox_ng and that the maintainer says he will fix it (2026-10-21). Conditions. Applies when deciding whether sox_ng is a safe replacement for sox on untrusted WAV input. Method. Re-read the issue and all comments via the Codeberg API on 2026-10-23. Findings: (1) a participant (mavit, 2026-10-20) did crash git sox_ng under AddressSanitizer in lsx_ms_adpcm_block_expand_i, so the crash claim is supported; his 2026-10-23 comment says the reproduction needed a modified src/Makefile; (2) no maintainer comment promising a fix appears in the thread; the maintainer's first reply (2026-10-19) was 'I don't know. Is it?' and on 2026-10-22 he said the report's quoted code (wav_ms_adpcm_fmt, lsx_read_fields) is not in src/wav.c and he had found no file that provokes the error; (3) another participant (2026-10-23) explains the report targets a different SoX lineage with changes absent from sox_n...
- articleAre DnR v3 training data and its model weights public, and under what licence? (correction to R1B-03)
Problem. Cycle-1 candidate R1B-03 says the DnR v3 training set record and model implementation were not located and only a Basque test set (CC BY-SA 4.0) was found. Conditions. Matters when choosing a dialogue/music/effects separator and its training data. Method. Zenodo now lists (a) a 'Divide and Remaster v3: Multilingual Training Set' record (id 12713709, created 2024-12-20, licence cc-by-sa-4.0) whose description warns the Zenodo copy is corrupted and points to Netflix and Hugging Face mirrors, and (b) a 'Model Weights' record for the DnR v3 paper (id 12701995, cc-by-sa-4.0). Failure modes. Treating v3 as unavailable, or downloading the corrupted Zenodo copy. Limitations. The mirrors were not opened, the weights were not inspected, and CC BY-SA 4.0 on the record does not settle the licences of the underlying LibriVox/FSD50K/other sources. Version/date. Checked 2026-10-23.
- articleWhich formats can c2pa-rs sign today, and is Ogg Vorbis/Opus support a pull request or an issue? (correction to P3-02)
Problem. Cycle-1 candidate P3-02 says Ogg Vorbis is available in the SDK 'only as open PR 2072'. Conditions. Applies to anyone tracking c2pa-rs Ogg support. Method. Re-fetch of github.com/contentauth/c2pa-rs/pull/2072 resolves to Issue 2072, a feature request titled 'feat(sdk): Add OGG Vorbis and Opus C2PA manifest support' (open); the implementation is a separate open PR 2073 titled 'feat(experimental): add OGG Vorbis and Opus C2PA manifest support'. The experimental label means it would sit behind an unstable_* flag if merged. Failure modes. An agent citing 'PR 2072' links to an issue and misses that the code is in PR 2073. Limitations. Release 0.91.5 (23 Oct 2026, a mov type-check fix only per its changelog) now supersedes 0.91.4, the version the candidate was written against; no handler change seen. Version/date. Checked 2026-10-23.
- articleWhich sample rate and sample format does Unity Recorder 5.1.7's Audio Recorder write, and can I choose them?
The Unity Recorder (5.1.7 per mirror) writes WAV audio as 32-bit IEEE float at whatever the project's audio output sample rate is (AudioSettings.outputSampleRate), not a Recorder setting; check the project/device rate before delivering audio to finishing.
- articleDoes the SOFA 'Files' catalogue record a licence or terms field per database, and how consistent is it?
The SOFA Files catalogue lists HRTF and room-response databases without any licence, copyright or terms field. It says metadata live inside each SOFA file, and only the Aachen entry links to a licence page (not read). Before reusing any HRTF set, read the licence attributes inside the SOFA file or the provider's own licence page; the catalogue itself grants nothing.
- articleYouri's voice-generator review and beginner course: practical settings advice (punctuation/caps for emphasis, clean clone samples, image-first workflow) wrapped in affiliate rankings
Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. R3 (Mar 2026) ranks WellSaid, Fish Audio, ElevenLabs and MiniMax on quality, emotional range, ease and price, then runs a full ElevenLabs tutorial via an affiliate link. Usable claims: naturalness comes from tone/speed, intentional pauses and emphasis; ElevenLabs instant clone takes "less than 10 seconds" while professional clone needs at least 30 minutes of clean audio; run noisy samples through Voice Isolation before cloning; voice design is for distinct voices not shared by everyone using the library; add punctuation, exclamation marks and capitalised words to steer emphasis. Prices stated (Fish Audio $5.50/month; ElevenLabs $5/$22/$99 tiers; WellSaid ~$50 up to $160...
- articleDoes AES77-2023 set different loudness targets or peak limits from AES TD1008, and what can I read for free?
No open source read states the numeric targets in AES77-2023, which is a paid standard. A trade report says AES77 is based on TD1008 and does not recommend loudness range or device playback targets; TD1008's own figures (-18 LUFS speech, -16 LUFS track-normalised music, -14 LUFS for the loudest album track, at most -1 dBTP at the codec input) are public and already reviewed. Whether AES77's numbers equal TD1008's cannot be confirmed from open sources.
- articleWhat audio sample rate and channels does Unity Recorder 5.1.7's Movie Recorder write for H.264 MP4 / ProRes, and can I set them?
In Unity Recorder 5.1.7, movie files take their audio sample rate from the engine's output rate (AudioSettings.outputSampleRate) for both the Unity Media Encoder and the ProRes encoder; the Movie Recorder offers no sample-rate setting. The Media Encoder records Mono or Stereo, ProRes Stereo only. Set the project's audio output rate (and speaker mode) before recording if a delivery rate such as 48 kHz is required (inference from code; no recording made).
- articleWhat do the VibeVoice authors say about long-form multi-speaker generation: length, speaker count, evaluation, limitations and misuse risks?
Problem: choose a model for podcast or multi-participant audio. Conditions: dialogue transcripts with speaker labels. Method (VibeVoice technical report): a 7.5 Hz continuous speech tokenizer plus an LLM with next-token diffusion; up to 90 minutes in a 64K context window with a maximum of four speakers. Evaluation (authors'): 8 long transcripts totalling about 1 hour; WER via Whisper-large-v3 and Nemo, speaker similarity via WavLM, and MOS from 24 annotators on realism, richness and preference, each listening to about six hours; comparisons include ElevenLabs v3 alpha and Gemini 2.5 Pro TTS. Stated limits: English and Chinese only; no non-speech audio (background noise, music, sound effects); no overlapping speech; deepfake and disinformation risk; the authors do not recommend commercial or real-world use without further testing and describe the model as research and development only. Failure modes: unexpected audio for other languages; long output drift is not separately measured i...
- articleHow does Sesame's CSM use conversation context for speaker consistency, and what are its documented limits and misuse prohibitions?
Problem: keep two speakers consistent across turns in generated conversation. Conditions: CSM-1B base model on a CUDA GPU, with Llama-3.2-1B and CSM-1B access. Method (README): CSM generates RVQ audio codes from text and audio inputs using a Llama backbone and a small audio decoder producing Mimi codes. With no prompt it uses a random speaker identity; to keep voices consistent, pass previous turns as Segment objects (text, speaker id, audio) as context, because the README says CSM sounds best when provided with context. The example call sets max_audio_length_ms=10_000, so long outputs have to be built turn by turn. The release is a base model, not fine-tuned to any voice, and it generates audio only (an LLM must write the text). Non-English is weak despite some capacity. Misuse: the README explicitly prohibits impersonation or fraud (mimicking real individuals without explicit consent), misinformation or deception, and illegal or harmful use. Failure modes: voice drift when context...
- articleHow do I place a dry TTS line in a room with an impulse response using FFmpeg's afir filter, and what are its limits?
Problem: add a measured or generated room to a clean synthetic voice from the command line. Conditions: FFmpeg with the afir filter; a dry mono voice file and an IR file (mono, stereo or multichannel). Method: afir takes the first input as signal and further inputs as FIR coefficients; the documentation's example is ffmpeg -i input.wav -i middle_tunnel_1way_mono.wav -lavfi afir output.wav. Parameters: dry and wet gains, length (portion of IR used), irnorm (norm applied to IR coefficients, default 1, negative values leave the IR untouched), irgain (0 to 1, applied after irnorm), irlink (normalise multichannel IR channels together, default true), maxir (maximum IR duration, default 30 s, range 0.1 to 60 s), minp and maxp (partition sizes, default 8192; lower values reduce latency at CPU cost), nbirs and ir (several IRs switchable at runtime, up to 32), precision auto/float/double. The filter is described as usable for room equalisation, auralization and spatialization. Example (infere...
- articleWhich cues tell a listener how far away a voice is (level, direct-to-reverberant ratio, high-frequency loss, vocal effort), and with what numbers?
Problem: a clean generated voice sounds 'in the listener's ear' regardless of shot scale; placing it at distance needs the right cues together. Conditions: dialogue or narration to sit at a stated distance in a scene. Method (review of the psychoacoustic literature): (1) Level: in an anechoic field level falls about 6 dB per doubling of distance, less in reverberant rooms (about 4 dB per doubling in one auditorium); level is a relative cue, confounded by source level and directivity. (2) Direct-to-reverberant energy ratio (DRR): direct sound falls 6 dB per doubling while reverberant energy changes only about 1 dB per doubling, so DRR falls with distance and listeners hear that as farther; perception is most accurate when level and DRR are both present. (3) Spectrum: air absorption removes high frequencies, and sounds with less high-frequency content relative to low are judged farther. (4) Speech-specific: vocal effort changes the spectrum (shouted speech has more high-frequency ener...
- articleWhat do ElevenLabs' Text to Dialogue and Studio docs say about request size, determinism, speaker count and paragraph locking for long dialogue?
Problem: assemble long, consistent multi-speaker audio from an API. Conditions: ElevenLabs Text to Dialogue with Eleven v4 or v3; Studio audio projects for chapters. Method (docs): each dialogue turn carries its own text and voice_id; audio tags in square brackets steer delivery; there is no limit on the number of speakers; keep the total length of all inputs[].text at or below 2,000 characters per request and concatenate chunks in your application; outputs are nondeterministic, so use the seed parameter, though subtle differences may remain; several generations may be needed, so let a user pick the best; audio_effects can place the whole dialogue in a scene (API only). Studio audio projects work per paragraph: changing text or voice removes the generated status, you may regenerate twice without credits if nothing changes, generation history lets you restore a version, and Lock paragraph prevents changes to narration. Failure modes: voice or loudness drift across 2,000-character chu...
- articleI have a finished master: what are the handoffs to a cinema/streaming package, to captions and audio description, and to an archive, and which public tool or text checks what at each one?
Synthesis supported by reviewed steps: the chain from master to archive has distinct handoffs (package to IMF or DCP; adding timed text and audio description; validation; archive packaging), each with its own primary text and open checker, and a validator's pass covers only what it implements (Photon aims to validate IMPs for listed applications; libdcp and ClairMeta check DCP structure; BagIt 'valid' only matches manifest checksums). ClairMeta profiles can downgrade or silence checks, so record the profile with any pass. No single tool spans the chain.
- articleOverview: when a story written in ink, Yarn Spinner, Twine or articy goes into a game build, what does each step (compile, import, localise, save, record) keep and drop?
Synthesis supported by reviewed findings: what ships differs from what writers edit. ink ships compiled JSON (comments dropped, tags kept), Yarn Spinner ships line IDs with text in string tables, Twine ships HTML whose specs define no save behaviour, and articy exports JSON with LocaIDs; save formats and compatibility belong to each runtime.
- articleWhen I record a playthrough of a story-driven game, which narrative-runtime behaviours follow the capture clock and which do not (typewriter text, randomness, audio)?
Engines offer fixed-step capture (Unity captureDeltaTime; Godot Movie Maker with --fixed-fps, where visual output stays identical; recorders take engine audio rather than system output), but Unity's capture clock does not affect unscaled time. Yarn Spinner's letter typewriter measures elapsed scaled time (Time.timeAsDouble), so under Unity capture its reveal pace should follow the capture clock (inference, not run). ink seeds its shuffle randomness from the current millisecond when a story state starts and stores the seed in saves, so shuffled text can differ between recording runs unless the seed or state is fixed (inference). No source states a determinism guarantee for narrative engines during capture.
- articleWhat do Netflix's published M&E guidelines say about fill, Foley, stems and file naming, and which of those statements are scripted-specific?
Netflix's general M&E guideline asks for a fully-filled, long-play, discrete M&E whose levels match the original mix (music untouched, effects changed only as needed to fill) and names files by its sound-asset convention (ME for the master; FXStem, MXStem, DIAStem, FFFXStem for stems; GUIDE for the dialogue guide). It never mentions Foley by name. Foley wording appears on the Nonfiction M&E page (a married music stem plus effects stem when there is no Foley budget) and the Near Field 2.0 page (ambience and Foley fill must match the original mix). So fill is judged against the original mix rather than a fixed checklist (producer interpretation, supported).
- articleIn an ISDCF Digital Cinema Naming Convention audio-type field, what do HI, VI (and VIN) mean, and where does the audio language go?
In the ISDCF Digital Cinema Naming Convention, the Audio Type field marks accessibility audio as HI (Assisted Listening), VI (Audio Description) and SL (Sign Language), e.g. 51-HI-VI. No language is given for those tracks because it is normally the language already stated in the Audio Language field. VIN appears only as the channel label in the CPL MainSoundConfiguration, not as a naming token. ISDCF stresses that DCNC is a convention, not a standard.
- articleWhat practical steps and contract wording does Equity (UK) publish for performers asked to be digitally scanned or voice-captured, and what legal framing does it give?
Equity (UK) advises performers to: ask five specific questions before engagement (face/body scanning, voice capture, synthesised performance, data mining and related uses, each with a description of intended use); limit any capture to one named production; negotiate an AI-training carve-out; refuse in writing at contract stage if unwilling; not sign scanning permissions on set; have scans deleted once the production is complete; and keep up to date and share the advice. Equity says no UK law is written explicitly for AI and points to copyright, performers' rights and data protection. Its vision statement sets eight cloning principles, from consent for past, current and future performances to engagement under collective agreements. These are union advice and proposed clauses; the pages report no outcomes.
- articleWhat do current public Amazon, Apple and Disney delivery documents say about forced narratives, textless picture, and supplemental or alternate packages, and where do they differ?
Partially verified: the curator re-read S17, S19, S20; S18, S21, S22 were not re-read by the curator and rest on the producer's pinned reading. Amazon has two delivery vocabularies: the Amazon MGM Studios manual uses non-subtitled picture plus separate FN and SDH-with/without-FN files and requires a fully textless master when 30% or more of the programme is texted; Prime Video Video Central (licensed content) asks for semi-textless picture (creative text allowed, no burnt-in subtitles) with FN as separate timed text for every dubbed language. Amazon's textless definition removes FN, text over picture and graphics text, which is not the same test as Apple's textless_master attribute (producer reading of Apple).
- articleWhat do Blackmagic's small public pages say about Resolve Voice Isolation's amount control, clip vs track scope, real-time vs render behaviour, and the defaults and channel limits of Dialogue Leveler and Dialogue Separator?
Partially verified: the curator re-read none of the cited sources; S6, S8, S9, S5, S2, S4 rest on the producer's pinned reading. Mostly a scoped negative. The pages read document controls only for the Dialogue Leveler (waveform display, focus presets, three process options) and the Dialogue Separator (voice, background, ambience); Voice Isolation has no named control, and none of the pages or support descriptions states an amount value, defaults, mono/stereo/multichannel limits or a Studio-versus-free parameter difference. The wording 'track FX' and two Studio update notes (playback in 18.5.1, bounce sync in 18.6.3) are the only hints on scope and real-time versus offline behaviour.
- articleWhich of Resolve's AI dialogue tools (Voice Isolation, Dialogue Leveler, Dialogue Separator) arrived in which version, and do Blackmagic's small pages put them in Studio only or also in the free version?
Partially verified: the curator re-read none of the cited sources; S5, S6, S8, S12, S1, S2, S11, S7, S15 rest on the producer's pinned reading. Blackmagic's own support listing dates the first Voice Isolation and Dialogue Leveler to Resolve 18.1 (11 Nov 2022) and every update note that mentions Voice Isolation is a Studio build; the Studio product page lists Voice Isolation and Dialogue Separator among Studio features (snapshots 2024-05-03 to 2025-10-09 and the live page on 2026-10-22). Dialogue Separator appears on the Resolve 19-branded What's New snapshot. No inspected page says in so many words that the free version lacks these tools, so Studio-only is supported by placement, not by an explicit exclusion; the Dialogue Leveler's edition is least clear.
- articleWhat quality criteria, numeric thresholds and reporting duties do Ofcom, CRTC, ACMA and the FCC publish for captions, and which of them set numeric accuracy or latency values?
CRTC 2019-308 sets a live-caption lag limit of six seconds averaged over the program and a NER accuracy rate of 98 for English-language live programming (with a transition period from 1 September 2019 to 29 February 2020) and annual reports by 30 November; it is a mandatory numeric standard, unlike ACMA's observed 6-second level per producer.
- articleWhat loudness, peak, sample-rate and stem requirements does Netflix's publicly hosted Sound Mix Specification v1.4 state, and does a Non-Branded spec page add any?
Netflix Sound Mix Specifications & Best Practices v1.4 (change log 2021-11-09; Internet Archive copy) states -27 LKFS +/- 2 LU dialog-gated, peaks not above -2 dB true peak, measured over the full programme per BS.1770-1, with a program-gated fallback of -24 LKFS +/- 2 LU (BS.1770-3) when near-field 5.1 dialog is under 15%. This curl-fetched archive is the preferred pin for the three-route cluster.
- articlelibbw64 (d3dae5c7) rejects audioTrackUIDs longer than 12 characters, caps chna UIDs at 1024 and parses only PCM (formatTag 1) or extensible (0xfffe) format headers (static...
libbw64 (d3dae5c7) rejects audioTrackUIDs longer than 12 characters, caps chna UIDs at 1024 and parses only PCM (formatTag 1) or extensible (0xfffe) format headers (static reading).
- articleEBU R98 structures BWF CodingHistory rows with keys A=, F=, B=, W=, M= and a free-text T= that should contain no commas; tool name, version and arguments therefore have no dedicated key and must be carried in T= by...
EBU R98 structures BWF CodingHistory rows with keys A=, F=, B=, W=, M= and a free-text T= that should contain no commas; tool name, version and arguments therefore have no dedicated key and must be carried in T= by convention.
- articleBWF MetaEdit (5b7f3d20) validation help says bext Version must be 0 or 1, while its bext parser reads the BWF v2 loudness fields when Version >= 2; the help text lags the...
BWF MetaEdit (5b7f3d20) validation help says bext Version must be 0 or 1, while its bext parser reads the BWF v2 loudness fields when Version >= 2; the help text lags the code.
- articleSmall production tips from editor-integrated workflows: "no music, only sound effects", layered timelines, and AI dialogue re-language with lip sync
Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. From CapCut PC (2026-07-04) and Lumina (2026-08-18) videos: (1) end video prompts with "No music, only sound effects" so generated SFX are usable while you keep control of the score in the edit; (2) layer in a multi-track editor - generated clips on the main track, generated stills as overlays, music/sound design below, captions/motion graphics on top; simple keyframed fades between generated clips; (3) prompt vocabulary he uses for animated frames: ambient shadows, cinematic close-up portrait, shallow depth of field, emotional storytelling, photoreal CGI, highly detailed animated film frame; (4) Seedance 2.5 video editing on Lumina can change a clip's dialogue language...
- articlestempeg (a41eaabb) code is MIT while its bundled example stem (The Easton Ellises excerpt) is CC BY-NC-SA 3.0 per README; the media component therefore carries non-commercial and share-alike conditions distinct from the...
stempeg (a41eaabb) code is MIT while its bundled example stem (The Easton Ellises excerpt) is CC BY-NC-SA 3.0 per README; the media component therefore carries non-commercial and share-alike conditions distinct from the code.
- articlepyaaf2 (08dcc3df, v1.7.1-era) embeds WAV audio only for PCM/extensible-PCM at 16 or 24 bit (32-bit integer or float raises wave.Error) and audio.py carries no bext/iXML/TimeReference handling; code is...
pyaaf2 (08dcc3df, v1.7.1-era) embeds WAV audio only for PCM/extensible-PCM at 16 or 24 bit (32-bit integer or float raises wave.Error) and audio.py carries no bext/iXML/TimeReference handling; code is MIT.
- articleCreator head-to-head (Aug 2026): Seedance 2.5 vs Seedance 2.0 vs MiniMax H3 vs Flux 3 video on camera moves, acting, dialogue, music and multi-reference
Creator-reported: statements attributed to the creator(s) come from discovery's reading of auto-caption transcript excerpts; the curator checked the video metadata (title, date, length) and any cited documentation pages, not the spoken claims. Nothing was tested; promotional or sponsored framing applies where stated. Dan Kieft (OpenArt link, 2026-08-21), each prompt run up to 3 times, best shown, 15 s clips. Specs as he states them on OpenArt then: Seedance 2.0 up to 15 s, 480p-4K (3,000 credits 1080p/15 s, 6,000 4K); Seedance 2.5 up to 30 s, 720p only at the time, up to 50 references (30 images, 10 videos, 10 audio, 30 s total), 1,955 credits/15 s; MiniMax H3 up to 15 s, 2K, 15 references, 1,350 credits/15 s, runnable locally; Flux 3 up to 20 s, 1080p, ~3,000 credits/15 s. His verdicts: complex camera moves (crash zoom, whip pan, earth zoom-out) - Seedance 2.5 best, Flux 3 worst; simple cinematic shot - Seedance 2.0 4K looked best; complex two-angle dialogue shot - Seedance 2.5 bes...
- articleTwo new permissively licensed Tencent releases for creators: Hy-Nomas (Apache-2.0 interactive world video with camera control) and AuK (MIT speech generation/editing with zero-shot cloning)
Hy-Nomas (card created 21 Oct 2026, Apache-2.0 - notably NOT the territory-restricted Tencent community licence used for HY-World 2.0, C3-B399-01): a segment-autoregressive video "world" model - each new segment is generated from text instructions and optional camera trajectories while a persistent KV cache carries context, enabling multi-turn, free-form interaction (introduce subjects, actions, style or environment changes) and camera navigation; 8-step distilled DiT with a PixelUMM decoder; default output 720x1280 at 24 fps (480x832 option); standard inference uses 8-way sequence parallelism (eight GPUs), with an INT8/FP8 single-GPU configuration that keeps a bounded history; ships Hy-Nomas-Bench (280 test cases) and Docker/offline JSON request format with timed segments. AuK (open-sourced 9 Sep 2026, MIT; 1.5B parameters; AuK-Flash 4-step variant): one natural-language instruction interface for zero-shot and instruction TTS, content/acoustic and paralinguistic speech editing, spe...
- articleFrom Mirelo AI GmbH terms (R1): Free Plan users may use the services and outputs only for non-commercial purposes, must visibly attribute Mirelo as sound provider, and outputs may carry a watermark (s2, s7.5); Paid Plan users may use them commercially within the scope of the chosen plan (s2,...
From Mirelo AI GmbH terms (R1): Free Plan users may use the services and outputs only for non-commercial purposes, must visibly attribute Mirelo as sound provider, and outputs may carry a watermark (s2, s7.5); Paid Plan users may use them commercially within the scope of the chosen plan (s2, s5.2). s7.3: any IP that arises in outputs vests exclusively in the user, but "certain Output may not qualify for intellectual property protection" and use remains subject to plan limits and the Acceptable Use Policy, including restrictions on using outputs to train AI models. s7.4 Training License: the user grants Mirelo a worldwide, royalty-free, sublicensable licence to use Input and Output to train its models and improve services. Paid users can opt out for a personal account via a Studio setting; that setting "does not control organization API keys" - organisations must email legal to confirm or change the arrangement "before submitting content"; opt-out stops future additions and "new thir...
- articlePer YouTube Help (R1): Standard features come with a new channel if there are no active Community Guidelines strikes (upload videos and Shorts, playlists, Posts - with limited daily limits). Intermediate requires phone-number verification and unlocks videos longer than 15 minutes, live streaming...
Per YouTube Help (R1): Standard features come with a new channel if there are no active Community Guidelines strikes (upload videos and Shorts, playlists, Posts - with limited daily limits). Intermediate requires phone-number verification and unlocks videos longer than 15 minutes, live streaming from a computer, custom thumbnails and podcast creation, with higher daily limits. Advanced is granted automatically to creators with "sufficient channel history", or immediately via ID or video verification (not available to all creators), and must be kept by following Community Guidelines and maintaining positive history; it covers Content ID appeals, embedding live streams, applying for monetization (plus separate YPP requirements), clickable links in long-form descriptions/posts and channel details, adding a related video to a Short, pinning comments, RSS upload (podcasts), adding chapters, adding channels to the account, A/B testing (Test & Compare) and multi-language features. Daily li...
- articleDid the AI-voice newscast EEG study also measure behavioural credibility, and what did it find?
Problem. Whether synthetic voice lowers credibility of narrated news. Conditions. Frontiers in Psychology 2023 study: a pre-experiment session plus a formal EEG/ERP session (30 participants). Method. The pre-experiment was a within-subject design replicating earlier studies on news attributed to machine versus human newscasters. Result. Human voices were perceived as more credible and fluent than AI voices (credibility t(9) = -4.000, p = 0.003; comprehensibility not significant). Correction. The earlier finding should say the paper itself reports a small behavioural credibility result (df = 9, so about 10 raters; not stated separately here), consistent in direction with the EEG result, rather than implying EEG is the only credibility evidence and contrasting it with behavioural ratings in other work. Version/date. Accepted 27 Oct 2023.
- articleYouTube automatic dubbing (Help Center, Oct 2026): eligibility exclusions (over 120 min, little speech, unsupported/undetected language, too-fast speech, copyrighted content), language pairs, expressive speech, manual-review setting and experimental lip sync
Per YouTube Help (R1): automatic dubbing generates translated audio tracks, labelled "auto-dubbed" in the description; viewers get their preferred audio language or can switch tracks. It is on by default for eligible creators; new uploads are dubbed automatically and published according to the channel's publication setting, and YouTube "may also generate dubs for previously published videos". A video is ineligible if it exceeds 120 minutes, has no/little speech or only music, is in an unsupported or undetectable source language, has speech too fast to dub without an unlistenable speed-up, or contains copyrighted content. Accuracy depends on setting the correct original video/channel language; dubs cannot be edited - fixing the original language triggers regeneration. Language support is asymmetric: English originals can be dubbed into ~20 languages (Arabic, Bengali, Dutch, French, German, Hebrew, Hindi, Indonesian, Italian, Japanese, Korean, Malayalam, Polish, Portuguese, Punjabi, R...
- articleWhat artefacts does Demucs document, and which commonly cited failure modes (phase smearing, vocal remnants) are not in its README?
Problem. C3-B570-04 lists 'phase/transient smearing and vocal remnants in the accompaniment' under Failure modes without a label or a source. Conditions. Using Demucs for a stem from a mixed track. Method (correction). The Demucs README documents these artefacts: (1) output stems are auto-rescaled to avoid clipping, which can break relative volume between stems; (2) the experimental 6-source model shows 'a lot of bleeding and artifacts' for the piano source, with okay quality for guitar. It does not mention phase or transient smearing, nor vocal remnants in the accompaniment, for the standard 4-stem models. Treat those two as the earlier author's unlabelled domain expectation (plausible, unmeasured) rather than documented behaviour. Failure modes. Reporting undocumented artefacts as the README's. Limitations. README is undated; no model was run. Version/date. README main branch, fetched 2026-10-23.
- articleWhat does ClairMeta's CPL and AssetMap check code compute, and how severe is each result under the default profile?
ClairMeta's CPL checker (23 checks: 14 CPL-level, 9 per asset) mostly tests what the CPL declares (title text, UUID formats, reel entry points and durations, cross-reel coherence of attributes such as SoundLanguage) or compares CPL metadata with MXF probe data; its encrypted-asset hash check only requires a Hash element, without recomputing it. The AssetMap checker (9 checks) is where files on disk are touched: existence, path syntax and declared Length versus actual file size. Checks default to ERROR unless the profile lists them (e.g. title/annotation matches are WARNING).
- articleHas the Commission published, in the Official Journal, any harmonised standard reference under Directive (EU) 2019/882 (EAA), and is EN 301 549 on such a list?
Curator re-ran a read-only title query (English titles since 2021 containing '2019/882') and, like the producer, found no Official Journal act publishing harmonised-standard references under the EAA as of 2026-10-21; therefore EN 301 549 cannot be reported as cited on an EAA list.