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tts

tts

Use for NeMo Speech TTS synthesis, FastPitch and HiFi-GAN cascades, MagpieTTS and EasyMagpie inference or finetuning, G2P, audio codecs, TTS manifests, preprocessing, evaluation, and TTS troubleshooting.

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Documentation de la Skill

GitHub

name: tts description: "Use for NeMo Speech TTS synthesis, FastPitch and HiFi-GAN cascades, MagpieTTS and EasyMagpie inference or finetuning, G2P, audio codecs, TTS manifests, preprocessing, evaluation, and TTS troubleshooting." disable-model-invocation: true metadata: disco-role: operating license: Apache 2.0

TTS

Use this sub-skill for NeMo Speech text-to-speech work: cascaded FastPitch/HiFi-GAN synthesis, MagpieTTS and EasyMagpie inference or finetuning, G2P conversion and training, audio codec training, text and phoneme preprocessing, checkpoint compatibility, manifest validation, TTS evaluation, and TTS-specific troubleshooting.

Route generic audio enhancement/restoration/separation to ../audio/SKILL.md. Route generic manifest sharding, tokenizer building, and dataset conversion utilities to ../data-tools/SKILL.md when present. Route SpeechLM2 voice-chat, SALM, and duplex speech-language modeling to ../speechlm2/SKILL.md. Route repository testing, formatting, packaging, or CI tasks to ../repo-development/SKILL.md when present.

Start Here

  1. Read references/model-overview.md to choose FastPitch/HiFi-GAN, MagpieTTS/EasyMagpie, G2P, audio codec, aligner, SSL TTS, or preference-optimization workflows.
  2. Read references/data-formats.md before creating or auditing TTS, MagpieTTS, G2P, vocoder, or audio-codec manifests and dataset metadata.
  3. Read references/workflows.md for concrete Python, Hydra, inference, finetuning, G2P, codec, and evaluation contracts.
  4. Read references/troubleshooting.md when installation, CUDA, optional dependencies, text normalization, phonemization, checkpoint loading, Hydra overrides, long-form inference, or evaluation metrics fail.

Safe Bundled Tool

  • scripts/check_tts_manifest.py validates TTS/G2P-style JSONL manifests without importing NeMo, opening audio contents, downloading models, training, or writing outputs.
  • Run it from this sub-skill directory before training, finetuning, evaluation, or batch inference: python scripts/check_tts_manifest.py train.jsonl --mode tts --require-audio --check-files --min-duration 0.1 --max-duration 30.
  • For G2P manifests: python scripts/check_tts_manifest.py g2p_train.jsonl --mode g2p --grapheme-field text_graphemes --phoneme-field text.
  • For MagpieTTS context manifests: python scripts/check_tts_manifest.py magpie.jsonl --mode magpie --require-audio --require-context --style-summary.

Evidence Base

This sub-skill distills repository evidence from TTS docs, TTS example scripts/configs, nemo.collections.tts model/data/G2P source, and TTS tests. Runtime guidance is self-contained; do not require future agents to reopen original source docs, examples, scripts, or tests.

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