Subchapter 27.38
audio/references/bgm.mdMarkdown8 KBView on GitHub
One music bed per composition, produced by the shared audio engine (scripts/audio.mjs → scripts/lib/bgm.mjs). Two routes, chosen by the engine’s one switch — whether a HeyGen credential is present:
scripts/11 files~/.heygen$HEYGEN_API_KEYnpx hyperframes bgm command; the engine spawns scripts/lyria-recipe.py or an inline MusicGen script directly.Run the Preflight first — no credential is not a green light to silently generate locally. Before generating, complete the sign-in Preflight (see
../SKILL.md→ Preflight): runnpx hyperframes auth status, recommend signing in, and STOP for the user’s choice (sign in for HeyGen’s music library, or continue offline with local generation). This applies to a one-off “generate a BGM” request just as much as inside a full workflow.
audio_request.json → bgm: { mode?, query?, prompt? }:
mode — retrieve | generate | none. Omit for auto (retrieve when credentialed, else generate). An explicit retrieve is strict: no credential ⇒ skip, never a detached generate (so a caller with no wait-bgm step, e.g. product-launch, can’t get a pending job it won’t await).query — the mood, used for retrieval and as a fallback prompt seed (e.g. a storyboard’s music: field, falling back to message → arc → "calm cinematic underscore").prompt — an explicit full prompt for generation; omit and the engine infers one (see Mood inference). Optional blob / archetype / arc feed that inference.searchSounds(query, "music", { limit: 5 }) → GET /audio/sounds?query=<mood>&type=music&limit=5. Take the top result (ranked by score), download its presigned audio_url → assets/bgm/track.mp3. Synchronous. No match → skip (BGM is optional; never fail the render over it). Cue written to audio_meta.json:
{
"path": "assets/bgm/track.mp3",
"volume": 0.12,
"mode": "retrieve",
"query": "calm cinematic underscore",
"duration_s": 42.0,
}volume comes from the engine’s bgmDefaultVolume(): BGM_BED_VOLUME (currently 0.12 ≈ -18 dB — a bed under the voice) under narration, BGM_SILENT_VOLUME (currently 0.9) for a silent film (no voice). Tune those constants in scripts/lib/bgm.mjs, not call sites. An explicit volume in audio_meta.json always overrides this default. bgm_pending is false — the file is on disk when the engine returns.
For short launch videos, do not assume the beginning of the retrieved file is the best edit point. Check the opening against later five-second sections. If the track starts with a quiet build but a later section has a stronger, clean musical entrance, trim from that section and apply a short fade-in and longer fade-out. Repeat this check whenever the composition duration changes; the final music file must cover the full cut without a silent tail.
Spawned detached so voice work isn’t blocked; audio_meta.bgm_pending: true and bgm_pid / bgm_log are set until it finishes. Run scripts/wait-bgm.mjs before assembling — it polls the output file / process / log, detects crashes, and writes bgm_status.json (status: ready | failed | timeout | disabled). A failed/absent track is simply omitted; it never blocks voice/SFX.
| Order | Provider | Env / deps | Speed | Quality |
|---|---|---|---|---|
| 1 | Google Lyria RealTime | $GEMINI_API_KEY or $GOOGLE_API_KEY + google-genai (auto-installed on demand) | Real-time stream (≈ requested duration) | Production-grade |
| 2 | MusicGen (facebook/musicgen-small) | Python transformers + torch + soundfile + numpy (~300 MB first run; auto-installed) | Slow on CPU; fast on Apple MPS / CUDA | Decent; prompt-only control |
Output → assets/bgm/track.wav, target = total voice duration. MusicGen generates one seed clip (≤28–30s, under the decoder’s positional limit) then crossfade-loops it up to the target (or trims down if shorter), avoiding per-segment seams. Backend selection is by what can actually run: Lyria only when import google.genai succeeds, else MusicGen; if neither can be made to run, BGM is skipped (voice + SFX still render).
inferBgmPrompt() in scripts/lib/bgm.mjs: an explicit prompt wins; otherwise industry-keyword base → narrative-archetype shape → emotional-arc tiebreaker.
Match in blob / query | Base prompt | BPM |
|---|---|---|
crypto / nft / web3 / defi / token / blockchain | atmospheric electronic, deep bass, futuristic synths, restrained percussion | 100 |
finance / fintech / bank / payment / invest / wealth | calm cinematic, soft strings, subtle piano, restrained percussion | 92 |
creative / agency / design / studio / art / brand | playful electronic, warm pads, light percussion | 115 |
| (default: SaaS / tech / platform) | uplifting corporate tech, bright modern piano with synth pads | 108 |
Archetype then reshapes the arc — PAS → “MINOR to MAJOR” build; BAB / future-pacing → aspirational rising; feature-cascade → +10 BPM driving; demo-loop → −8 BPM minimal. The emotional arc breaks remaining ties (tension→relief, excitement, trust/reassurance).
The engine bakes BPM / scale into the prompt text (via the inference above) and passes only --output / --duration / --prompt to the recipe. If you invoke scripts/lyria-recipe.py directly you can also set: --bpm (90–110 calm, 110–130 energetic), --brightness (0–1, ≥0.7 promotional), --density (0–1, higher = fuller), --scale (MAJOR / MINOR / PENTATONIC / …), --negative-prompt (styles to exclude). MusicGen ignores all of these — put the mood in the prompt.
| Failure | Behavior |
|---|---|
| No music match (retrieve) | bgm: null, anomaly logged. Render proceeds without BGM. |
Explicit retrieve, no credential | Skipped (no silent generate fallback). Use mode: generate or omit mode for auto. |
| Neither Lyria nor MusicGen can run (generate) | bgm disabled with a pip install … hint. Voice + SFX still render. |
| Generate still rendering at assemble time | bgm_pending: true; wait-bgm.mjs waits/checks and writes bgm_status.json first. |
| Generate crashed | wait-bgm.mjs → bgm_status.json { status: "failed" }; the <audio> track is omitted. |
BGM failure never blocks a render.