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.

(alt: Image of Voice Start-End Detection)

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
uv sync

License

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
SpeechBrain VAD
- https://huggingface.co/speechbrain/vad-crdnn-libriparty
WebRTC VAD
- https://github.com/wiseman/py-webrtcvad
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).

Metadata

Release files for pysaten 2.2.2.post3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pysaten 2.2.2.post3
File	Size	Uploaded
pysaten-2.2.2.post3.tar.gz	21.7 kB	Sep 10, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for pysaten 2.2.2.post3
File	Interpreter	ABI	Platform	Reset
pysaten-2.2.2.post3-py3-none-any.whl 23.2 kB Sep 10, 2026	Python 3	none	any	Details

Total release size: 44.8 kB

Release files / pysaten-2.2.2.post3.tar.gz

Download URL	pysaten-2.2.2.post3.tar.gz
Size	21.7 kB
Tags	Source
SHA-256 checksum How to use checksums	`5bfc6e0c3e23e2858c80b38fdde112a8b47d1eca653a172a9f193c9c864a2b63`
BLAKE2b-256 checksum How to use checksums	`99cd7edde5bf3a8eb20f0ab5d86d0360d29a9e7027690efd6f062293772099a7`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.15`

Release files / pysaten-2.2.2.post3-py3-none-any.whl

Download URL	pysaten-2.2.2.post3-py3-none-any.whl
Size	23.2 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`89308e28ca6da45fe2b3533abcc916fe95f81c07af4e245a53bcc79a5438daf3`
BLAKE2b-256 checksum How to use checksums	`0b11f22246dea1e47b025c092ee51947507b1e37b6f5ee4f89557aecebc54907`
Upload date	Sep 10, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.15`