Command-line utility to transcribe/translate from video/audio/subtitles to subtitles
-
Updated
Dec 21, 2023 - Python
Command-line utility to transcribe/translate from video/audio/subtitles to subtitles
An audio/acoustic activity detection and audio segmentation tool
A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation
Code for ICASSP 2024 paper WhisperSeg: Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection
PyAnnote Voice Activity Detection (ONNX version)
This repository contains a web application that integrates with a music recommendation system, which leverages a dataset of 3,415 audio files, each lasting thirty seconds, utilising a Locality-Sensitive Hashing (LSH) implementation to determine rhythmic similarity, as part of an assignment for the Fundamental of Big Data Analytics (DS2004) course.
Voice activity detection and speaker gender segmentation audiovisual corpus
pitch detection,CNN
Synthetic sounds datasets and real sounds datasets of waterflow sounds for the repo 'Neural-Texture-Sound-Synthesis-with-physically-driven-continuous-controls'.
Build a digital music library by downloading and segmenting youtube videos.
tensorflow for speech-music-detection task,acc 96%+
Automatic generation of speech dataset markup using Wav2Vec2 ASR models
Automatic annotation of timbre variation for monophonic musical instruments
Our Little Tools
Whole Audio Analysis Research with Python
SEGAUGMENT: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations
Music Source Separation web application using U-Net model with 2 main features: Audio Separation & Karaoke
AsegTool is a tool designed to generate a segmentation file that is usable within my other tool. 🌵
Master thesis project adapting the WhisperSeg model for ring-tailed lemurs, including all code necessary for experiment reproducibility.
Add a description, image, and links to the audio-segmentation topic page so that developers can more easily learn about it.
To associate your repository with the audio-segmentation topic, visit your repo's landing page and select "manage topics."