voice_audio_multi/docs/models/maya1.md
Fabio c36510c21e
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Initial import: audio.cpp with Orange Pi documentation
2026-11-04 19:05:22 +01:00

3 KiB

Maya1

maya1 provides native offline inference for Maya Research Maya1, an English text-to-speech model with natural-language voice design and inline emotion controls. Audio is decoded at 24 kHz with the SNAC speech codec.

Install

python tools/model_manager_v2.py install maya1_orig --models-root models
# Or install the smaller Q8_0 package:
python tools/model_manager_v2.py install maya1_q8_0 --models-root models

Run

audiocpp_cli --task tts --family maya1 \
  --model models/Maya1-GGUF/maya1-orig.gguf \
  --backend cuda \
  --text "Welcome back. <laugh> Today is going to be interesting." \
  --request-option 'instruct=Warm female voice in her 30s with an American accent and conversational pacing.' \
  --out maya1.wav

--task vdes is an alias to the same instruction-conditioned synthesis path.

Emotion tags such as <laugh>, <whisper>, <sigh>, and <gasp> may be placed directly in the input text. See the upstream Maya1 model card for its full prompt and emotion-tag guidance.

Request options (use with --request-option)

Option Values Default Description
instruct text required Natural-language voice, accent, timbre, age, and delivery description.
max_tokens positive integer 2048 Maximum generated audio-token count per text chunk.
min_tokens non-negative integer 28 Minimum token count before EOS may stop generation.
temperature positive float 0.4 Autoregressive sampling temperature.
top_p (0, 1] 0.9 Nucleus sampling probability.
repetition_penalty positive float 1.1 Autoregressive repetition penalty.
seed non-negative integer random Sampling and codec-noise seed.
text_chunk_size positive integer 300 Maximum Unicode codepoints per long-form chunk.
text_chunk_mode default, tag_aware, japanese, endline tag_aware Framework long-form text chunking mode.

Session options (use with --session-option)

Option Values Default Description
weight_type framework-supported storage type native Shared AR and SNAC decoder storage type.
ar_weight_type same as above weight_type AR backbone storage override.
codec_weight_type native, f32 weight_type SNAC decoder storage override. Set maya1.codec_weight_type=f32 when the shared weight_type is neither native nor f32; AR storage remains independently configurable.

Convert

Convert the original Maya1 and SNAC checkpoints into a self-contained GGUF:

conda run --no-capture-output -n qwen3-tts \
  python tests/maya1/convert_gguf.py \
  --model-dir /path/to/maya1 \
  --codec-dir /path/to/snac_24khz \
  --output-dir /path/to/Maya1-GGUF

Maya1 is Apache-2.0 licensed. The bundled SNAC decoder weights are MIT licensed; retain the notices for both upstream projects when redistributing the combined GGUF.