pysaten 2.1.1.post1

Detect silence segment from speech signal.

pySATEN

• Main: https://gitlab.com/f-matano44/pysaten
• Mirror: https://github.com/f-matano44/pySATEN-mirror

About

This library detects silence segment from speech signal.

Installation

pip install pysaten

Usage

Command line

pysaten_trim input.wav trimmed.wav

Python

import pysaten

# y: Target signal(numpy.ndarray), obtained using libraries such as librosa or soundfile.
# sr: Sampling rate.

# Get trimmed signal for the speech segment only.
y_trimmed: numpy.ndarray = pysaten.trim(y, sr)

# If you trim manually or want to get start/end time...
start_sec, end_sec = pysaten.vsed(y, sr)
y_trimmed = y[int(start_sec * sr) : int(end_sec * sr)]

For development

git clone https://gitlab.com/f-matano44/pysaten.git
poetry install

License

Copyright 2024 Fumiyoshi MATANO

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this program. If not, see https://www.gnu.org/licenses/.

Acknowledgements 🙏

• tools/v1/marblenet: Apache License Version 2.0
  • https://github.com/NVIDIA/NeMo
• tools/v1/rvad: MIT License
  • https://github.com/zhenghuatan/rVAD
• inaSpeechSegmenter
  • https://github.com/ina-foss/inaSpeechSegmenter
• Silero VAD
  • https://github.com/snakers4/silero-vad
• WhisperX
  • https://github.com/m-bain/whisperX

Cite this

Library version 2.x (Non-peer-reviewed)

Japanese

俣野 文義，森勢 将雅，``音声コーパス構築のための仮定を追加した発話区間検出法の改良,'' 日本音響学会第 154 回 (2025 年秋季) 研究発表会, pp.1223--1224 (2025.09).

English

F. Matano, M. Morise, ``An improved method for voice activity detection with additional assumptions for speech corpus construction,'' Proceedings of the 2025 Autumn meeting of the Acoustical Society of Japan, pp.1223--1224 (2025.09) (in Japanese).