This repository provides access to the main user tooling of ReazonSpeech and AVista projects.

ReazonSpeech

• Building the world’s largest open Japanese speech corpus.
• Project page: https://research.reazon.jp/projects/ReazonSpeech/

AVista 🐦‍🔥 -- Toward a new vista of Human–Robot Interaction

• Project for noise‑robust multimodal speech recognition for human–robot interaction and beyond.
• "AVista" stands for Audio‑VIsual Speech Transcription & Alignment, and the name contains the Latin words "avis", meaning bird, and "vista", meaning view or sight.

Installation instructions live in each package’s README. See Packages below.

reazonspeech.k2.asr

• Next-gen Kaldi model that is very fast and accurate.
• The total number of parameters is 159M. Requires sherpa-onnx.
• Also contains a bilingual (ja-en) model, which is highly accurate at language detection in bilingual settings of Japanese and English.
• For development: "ja-en-mls-5k" model trained on 5k hours of ReazonSpeech and MLS English data each

reazonspeech.nemo.asr

• Implements a fast, accurate speech recognition based on FastConformer-RNNT.
• The total number of parameters is 619M. Requires Nvidia Nemo.

reazonspeech.espnet.asr

• Speech recognition with a Conformer-Transducer model.
• The total number of parameters is 120M. Requires ESPnet.

reazonspeech.avsr

• Audio‑Visual Speech models for AVista 🐦‍🔥, including pretrained models.
• Follows the Hugging Face Transformers interface; supports Auto classes for quick use.

reazonspeech.evaluation

• Provides a set of tools to evaluate ReazonSpeech models and other speech recognition models.

reazonspeech.espnet.oneseg

• Provides a set of tools to analyze Japanese "one-segment" TV stream.
• Use this package to create Japanese audio corpus.

Copyright 2022-2025 Reazon Holdings, inc.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

   http://www.apache.org/licenses/LICENSE-2.0

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