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mcamara/all-words-in-english-with-pink-trombone

Dataset Card for Pink Trombone English Phonetic & Landmark Dataset Repository: mcamara/all-words-in-english-with-pink-trombone Modality: Audio + time-aligned events (landmarks) + articulatory keyframes Language: English (IPA) Sampling rate: 44,100 Hz (mono) Voices: two synthetic voices — M (male) and F (female) Summary A large-scale, clean synthetic speech dataset generated with the Pink Trombone articulatory synthesizer. Every English dictionary word is… See the full description on the dataset page: https://huggingface.co/datasets/mcamara/all-words-in-english-with-pink-trombone.

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Dataset Card

Dataset Card for Pink Trombone English Phonetic & Landmark Dataset

Repository: mcamara/all-words-in-english-with-pink-trombone Modality: Audio + time-aligned events (landmarks) + articulatory keyframes Language: English (IPA) Sampling rate: 44,100 Hz (mono) Voices: two synthetic voices — M (male) and F (female)

Summary

A large-scale, clean synthetic speech dataset generated with the Pink Trombone articulatory synthesizer. Every English dictionary word is synthesized in two voices (male and female). Each example links a word to:

  1. 1.audio — the synthesized waveform (44.1 kHz, mono, FLAC — lossless),
  2. 2.utterance — the articulatory keyframes driving the synthesis ({name, keyframes}),
  3. 3.landmarks — time-aligned acoustic landmarks detected from the audio.

Fields

FieldTypeDescription
idstringOrthographic word (e.g. "hello"). Repeats once per voice.
audioAudio (44.1 kHz)Synthesized mono waveform (FLAC, lossless).
utterancestring (JSON)getUtterance() output: { "name", "keyframes": [...] } with per-phoneme articulatory parameters (tongue/constriction positions, tenseness, intensity, frequency, timing).
landmarksstring (JSON)Array of { "type", "time", "name" }. Landmark times are in seconds.
sexstring"M" (male) or "F" (female).

Landmark types

TypeMeaning
Sc / SrStop closure / release
Fc / FrFricative closure / release
Nc / NrNasal closure / release
VVowel (mid-frequency energy peak)
GGlide (formant transition)

Voice parameters

VoiceF0Vocal tract length
M (male)140 Hz44
F (female)220 Hz38

Generation

Produced with the Pink Trombone web synthesizer driven headlessly via Playwright (pink-trombone-demos/batch-generator). For each word: text → IPA → articulatory keyframes (TTS module) → real-time synthesis + recording (Pink Trombone module) → WAV + landmark extraction (LEXI module). Landmarks are detected from energy/articulatory events. Audio is the synthesizer's native 44.1 kHz output (no resampling), stored as lossless FLAC.

Loading

python
from datasets import load_dataset
ds = load_dataset("mcamara/all-words-in-english-with-pink-trombone", split="train")
ex = ds[0]
ex["audio"]      # {'array': ..., 'sampling_rate': 44100}
ex["id"], ex["sex"]
import json
json.loads(ex["landmarks"])
json.loads(ex["utterance"])

# filter one voice
male = ds.filter(lambda r: r["sex"] == "M")

License

MIT.