Model reference · open weights

reazonspeech-nemo

Available as managed deployment Audio reazon-research Speech→text 1 variants 1k dl/mo

reazonspeech-nemo is an open-weight audio or speech model from reazon-research. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released byreazon-research
TypeAudio & music
TaskSpeech→text
Runs withnemo
Released2024-01-30
Popularity1k downloads / month
LicenceOpen weights

About

What reazonspeech-nemo is

reazonspeech-nemo-v2 is an automatic speech recognition model trained on ReazonSpeech v2.0 corpus.

This model supports inference of long-form Japanese audio clips up to several hours.

Read the full model card

Model Architecture

The model features an improved Conformer architecture from Fast Conformer with Linearly Scalable Attention for Efficient Speech Recognition.

  • Subword-based RNN-T model. The total parameter count is 619M.

  • Encoder uses Longformer attention with local context size of 256, and has a single global token.

  • Decoder has a vocabulary space of 3000 tokens constructed by SentencePiece unigram tokenizer.

We trained this model for 1 million steps using AdamW optimizer following Noam annealing schedule.

Usage

We recommend to use this model through our reazonspeech library.

from reazonspeech.nemo.asr import load_model, transcribe, audio_from_path

audio = audio_from_path("speech.wav")
model = load_model()
ret = transcribe(model, audio)
print(ret.text)

License

Apaceh Licence 2.0

From the published model card. Full card on the HuggingFace links in the sidebar.

How it works

How audio & music work

Audio or textinputAudio modelrecognise / synthesiseText or audiooutputSpeech-to-text turns audio into text; text-to-speech and music models turn text into audio.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys reazonspeech-nemo for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (reazonspeech-nemo below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -F model="reazonspeech-nemo" -F file=@audio.mp3

Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.

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