Skip to main content

Detect silence segment from speech signal.

Project description

pySATEN

[Repository] [Mirror] PyPI - Version Downloads

About

This library detects silence segment from speech signal.

(alt: Image of voice segment detection)

Installation

$ pip install pysaten

Usage

Command line

Supported formats for reading with pysoundfile. The audio file that can be loaded is mono only.

$ pysaten_trim input.wav trimmed.wav

Python

import pysaten

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

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

# If you trim manually or want to get start/end time...
start_s, end_s = pysaten.vsed(y, sr)
y_trimmed = y[int(start_s * sr) : int(end_s * sr)]
# start_s: Start of speech segment. Unit is seconds.
# end_s: End of speech segment. Unit is seconds.

For development (Linux only)

$ 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

The following programs were used to [evaluate the performance of pysaten]. We would like to take this opportunity to express our gratitude.

Cite this

Library version 1.X (Non-peer-reviewed)

Japanese

俣野 文義,小口 純矢,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提案と基礎評価,'' 日本音響学会第 152 回 (2024 年秋季) 研究発表会, pp.1161--1162 (2024.09).

English

F. Matano, J. Koguchi, M. Morise, ``Proposal and basic evaluation of a voice activity detection with additional assumptions for speech corpus construction,'' Proceedings of the 2024 Autumn meeting of the Acoustical Society of Japan, pp.1161--1162 (2024.09) (in Japanese).

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pysaten-1.4.0.post1.tar.gz (18.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pysaten-1.4.0.post1-py3-none-any.whl (20.7 kB view details)

Uploaded Python 3

File details

Details for the file pysaten-1.4.0.post1.tar.gz.

File metadata

  • Download URL: pysaten-1.4.0.post1.tar.gz
  • Upload date:
  • Size: 18.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for pysaten-1.4.0.post1.tar.gz
Algorithm Hash digest
SHA256 2ec6513bcca674d16a61806924a26993bb7d317fe525b72a41c2f199344e7d1f
MD5 8ceebb4b49d477d9fc9003364cc12289
BLAKE2b-256 8725cc2406050b0214f04150c5cb8d10db7722102a792cbf97f5b51a7fb8df82

See more details on using hashes here.

File details

Details for the file pysaten-1.4.0.post1-py3-none-any.whl.

File metadata

  • Download URL: pysaten-1.4.0.post1-py3-none-any.whl
  • Upload date:
  • Size: 20.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.3

File hashes

Hashes for pysaten-1.4.0.post1-py3-none-any.whl
Algorithm Hash digest
SHA256 2a4221993cf573922c5357af28c628194e27f68ed085b39ad206c42d93fea27b
MD5 e07e4cf1fed70927603dcb5e2742209c
BLAKE2b-256 bda497b9d9ce8359442d00137649dabd3979371696f18a055422f1e3580ff235

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page