Whole Audio Analysis with Python
-
Updated
Jun 14, 2024 - Python
Whole Audio Analysis with Python
Code for ICASSP 2024 paper WhisperSeg: Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection
Voice activity detection and speaker gender segmentation audiovisual corpus
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.
Music Source Separation web application using U-Net model with 2 main features: Audio Separation & Karaoke
A useful tool to split speech WAV PCM files to fragments with use of energy signal minimums (speech pauses).
SEGAUGMENT: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations
Command-line utility to transcribe/translate from video/audio/subtitles to subtitles
Automatic generation of speech dataset markup using Wav2Vec2 ASR models
PyAnnote Voice Activity Detection (ONNX version)
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.
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
AsegTool is a tool designed to generate a segmentation file that is usable within my other tool. 🌵
Automatic annotation of timbre variation for monophonic musical instruments
Our Little Tools
pitch detection,CNN
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."