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#

audio-datasets

Here are 21 public repositories matching this topic...

SER-datasets

A collection of datasets for the purpose of emotion recognition/detection in speech.

  • UpdatedSep 30, 2024
  • HTML

A description of "RealMAN: A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization" [NeurIPS 2024]

  • UpdatedApr 29, 2025
  • Python

This package aims at simplifying the download of the AudioSet dataset.

  • UpdatedJul 17, 2025
  • Python

Multi-Language Dataset Cleaner/Creator for Mozilla's DeepSpeech Framework

  • UpdatedMay 22, 2023
  • Python
Webtrench

A powerful and easy-to-use web scrapper for collecting data from the web. Supports scraping of images, text, videos, meta data, and more. Ideal for machine learning and deep learning engineers. Download and extract data with just one line of code

  • UpdatedNov 19, 2023
  • Python

KATube is a tool to automate the process of creating datasets for training Text-To-Speech (TTS) and Speech-To-Text (STT) models. From a list of YouTube playlists or YouTube channels, KATube will generate dataset with audios and texts.

  • UpdatedJul 27, 2024
  • Python

GitHub Repository for the Survey Paper on Audio-Language Datasets for Scenes and Events

  • UpdatedFeb 7, 2025
  • Jupyter Notebook

Download speech datasets (English and non-English) for Automatic Speech Recognition

  • UpdatedJan 22, 2023
  • Jupyter Notebook

[v.1.0] Lingualibre Languages Gallery in VueJS.

  • UpdatedAug 5, 2024
  • CSS

Synthetic sounds datasets and real sounds datasets of waterflow sounds for the repo 'Neural-Texture-Sound-Synthesis-with-physically-driven-continuous-controls'.

  • UpdatedAug 30, 2023

Audio Datasets

  • UpdatedMay 21, 2023

This repository contains the resources our team used through the course of the CLEF competition.

  • UpdatedMay 27, 2022
  • Jupyter Notebook

Dataset for tesing nyumaya audio recognition

  • UpdatedJan 2, 2019

Playback Helper Website for Recording Stem-Separated Datasets

  • UpdatedJan 19, 2026
  • JavaScript

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