YatharthS/LinaCodec

Model

24

stars

10

commits

2

repos using this model

1

linked in READMEs

Jan 3, 2026

updated

audio
audio-to-audio
codec
safetensors

README

Linacodec: Highly compressive audio tokenizer for speech models.

Hugging Face Model

Linacodec is an audio tokenizer that compresses audio into just 12.5 tokens per second (171 bps) and decodes to 48khz audio!

Key benefits

  • Compression: 12.5 tokens/sec (60x more compressed than DAC).
  • Audio Quality: 48khz output (much clearer then 16khz/24khz which is the standard).
  • Encoder Speed: 200x realtime.
  • Decoder Speed: 400x realtime(even faster with batching)
  • Many Tasks: Indirectly even supports voice conversion, audio super-resolution, and audio denoising!

Why is this even useful?

Audio tokenizers directly contribute to speed, quality, and capability of TTS/ASR models. LinaCodec massively improves upon previous codecs in these areas.

  • Inference Speed: Enables TTS models to run 800x realtime, 8x faster than MiraTTS!
  • Fast training: High-quality TTS models can be trained in less then 1 day.
  • Versatile: Works for both Text-to-Speech and Speech-to-Text unlike most other codecs.

Comparisons

ModelTotal Tokens/SecSample Rate
Linacodec12.548khz
DAC77444.1khz
EnCodec30024khz
Xcodec25016khz
Mimi20024khz

Please check the repo for usage: https://github.com/ysharma3501/LinaCodec

Licence is CC-BY-4.0 meaning you can use it for any usecase(commercially/non-commercially) given you credit the original creator. Thank you.

Contributors

YatharthS

10 commits

YatharthS/LinaCodec

Model

24

stars

10

commits

2

repos using this model

1

linked in READMEs

Jan 3, 2026

updated

audio
audio-to-audio
codec
safetensors

README

Linacodec: Highly compressive audio tokenizer for speech models.

Hugging Face Model

Linacodec is an audio tokenizer that compresses audio into just 12.5 tokens per second (171 bps) and decodes to 48khz audio!

Key benefits

  • Compression: 12.5 tokens/sec (60x more compressed than DAC).
  • Audio Quality: 48khz output (much clearer then 16khz/24khz which is the standard).
  • Encoder Speed: 200x realtime.
  • Decoder Speed: 400x realtime(even faster with batching)
  • Many Tasks: Indirectly even supports voice conversion, audio super-resolution, and audio denoising!

Why is this even useful?

Audio tokenizers directly contribute to speed, quality, and capability of TTS/ASR models. LinaCodec massively improves upon previous codecs in these areas.

  • Inference Speed: Enables TTS models to run 800x realtime, 8x faster than MiraTTS!
  • Fast training: High-quality TTS models can be trained in less then 1 day.
  • Versatile: Works for both Text-to-Speech and Speech-to-Text unlike most other codecs.

Comparisons

ModelTotal Tokens/SecSample Rate
Linacodec12.548khz
DAC77444.1khz
EnCodec30024khz
Xcodec25016khz
Mimi20024khz

Please check the repo for usage: https://github.com/ysharma3501/LinaCodec

Licence is CC-BY-4.0 meaning you can use it for any usecase(commercially/non-commercially) given you credit the original creator. Thank you.

Contributors

YatharthS

10 commits