Files
el/elp/tests/examples/speech-accent-demo.el
T
bigmerge b7e2c580a8
El SDK CI - dev / build-and-test (pull_request) Successful in 6m28s
Add native speech synthesis and voice-imitation faculty
speech.el: formant/glottal integer DSP synthesis + voice-analyze-by-
imitation. voice-profile.el / voice-ingest.el: voice-profile plumbing.
accent.el: British-RP as an ingested transform-geometry (explicitly marked
provisional/citation-pending by its own comments). organ-read.el:
engram read-through for the speech organ. Includes demo/test drivers and
non-personal reference data (British-RP phonetics/lexicon derived data,
a public-domain LibriVox RP reference recording).

Deliberately excludes elp/data/live/ (raw recorded voice + face-photo
samples of the repo owner) and the will-*.{json,psv} derived voiceprint
files — personal biometric data that shouldn't be committed to a shared
repo without an explicit decision from the owner. Also excludes this
worktree's elp/src/surface-profile.el, which diverges from the copy in
other worktrees (agent-aaf04b0a9714c4070, main) — needs manual
reconciliation before landing, left out here to avoid silently picking a
version.
2026-08-15 14:27:52 -05:00

46 lines
2.6 KiB
EmacsLisp

// speech-accent-demo.el - PROOF: Neuron speaks with a BRITISH accent, where the
// accent is a TRANSFORM composed onto the voice (voice (+) accent, separable),
// INGESTED as geometry (not a table). Same voice, accent toggled on/off = RP/GA.
fn main() {
let outdir: String = "/Users/will/Development/neuron-technologies/foundation/el/.claude/worktrees/agent-acc02900ef4ade35e/elp/tests/examples/out/"
// LEARN: base phonetics + lexicon + the British-RP accent transform, all as
// ingested geometry (source -> manifold -> engram).
let pmap: [String] = ingest_phonetics("elp/data/phonetics.psv")
let lmap: [String] = ingest_lexicon("elp/data/lexicon.psv")
let amap: [String] = ingest_accent("elp/data/british-accent.psv")
println("[learn] phonemes=" + int_to_str(native_list_len(pmap) / 2) + " words=" + int_to_str(native_list_len(lmap) / 2) + " accent_targets=" + int_to_str(native_list_len(amap) / 2))
let neuron: [String] = voice_neuron()
let noaccent: [String] = native_list_empty()
// -- Sentence 1: "I am Neuron." from meaning ----------------------------
let fr1: [String] = sem_frame("describe", "I", "Neuron", "")
let t1: String = sem_realize(fr1)
let c1: [String] = text_phonemes(lmap, t1)
println("[s1] " + t1 + " :: " + list_join(c1, " "))
// separability: SAME voice, accent OFF (GA) vs ON (RP)
let ga: [Int] = synth_codes_accent(c1, neuron, pmap, noaccent)
let okga: Bool = write_wav(ga, 16000, outdir + "ga-neuron.wav")
let br1: [Int] = synth_codes_accent(c1, neuron, pmap, amap)
let okb1: Bool = write_wav(br1, 16000, outdir + "british-neuron.wav")
// -- Sentence 2: showcases NON-RHOTICITY --------------------------------
let fr2: [String] = sem_frame("describe", "I", "here", "")
let t2: String = sem_realize(fr2)
let c2: [String] = text_phonemes(lmap, t2)
let c2rp: [String] = apply_rhoticity(c2, pmap)
println("[s2] " + t2 + " :: GA=" + list_join(c2, " ") + " RP=" + list_join(c2rp, " "))
let br2: [Int] = synth_codes_accent(c2, neuron, pmap, amap)
let okb2: Bool = write_wav(br2, 16000, outdir + "british-2.wav")
// show an RP override read straight from the accent geometry
let ovAA: [Int] = accent_formants(amap, "AA")
if native_list_len(ovAA) >= 3 {
println("[accent-geometry] AA(LOT) RP f1=" + int_to_str(native_list_get(ovAA, 0)) + " f2=" + int_to_str(native_list_get(ovAA, 1)) + " (base GA 730/1090) [PROVISIONAL]")
}
println("[done] ga-neuron=" + bool_to_str(okga) + " british-neuron=" + bool_to_str(okb1) + " british-2=" + bool_to_str(okb2))
}