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This repository provides access to the main user tooling of ReazonSpeech project.

• https://research.reazon.jp/projects/ReazonSpeech/

$git clone https://github.com/reazon-research/ReazonSpeech$pip install ReazonSpeech/pkg/nemo-asr# or k2-asr, espnet-asr or espnet-oneseg

reazonspeech.nemo.asr

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

reazonspeech.k2.asr

• Next-gen Kaldi model that is very fast and accurate.
• The total number of parameters is 159M. Requiressherpa-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.espnet.asr

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

reazonspeech.espnet.oneseg

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

Copyright 2022-2024 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-2.0Unless required by applicable law or agreed to in writing, softwaredistributed under the License is distributed on an "AS IS" BASIS,WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.See the License for the specific language governing permissions andlimitations under the License.