Whole Audio Analysis with Python
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Updated
Jul 10, 2024 - Python
Whole Audio Analysis with Python
Music Source Separation web application using U-Net model with 2 main features: Audio Separation & Karaoke
SEGAUGMENT: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations
AsegTool is a tool designed to generate a segmentation file that is usable within my other tool. 🌵
tensorflow for speech-music-detection task,acc 96%+
Automatic annotation of timbre variation for monophonic musical instruments
Automatic generation of speech dataset markup using Wav2Vec2 ASR models
Our Little Tools
Spliting speech WAV PCM files to fragments with use of energy signal minimums (speech pauses).
Build a digital music library by downloading and segmenting youtube videos.
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'.
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.
PyAnnote Voice Activity Detection (ONNX version)
Code for ICASSP 2024 paper WhisperSeg: Positive Transfer of the Whisper Speech Transformer to Human and Animal Voice Activity Detection
SHAS: Approaching optimal Segmentation for End-to-End Speech Translation
A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.
An audio/acoustic activity detection and audio segmentation tool
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