What is a speech dataset?

A speech dataset is a collection of audio recordings of human speech paired with their corresponding transcriptions, designed to train automatic speech recognition (ASR) systems effectively.

These datasets serve as crucial resources for training and fine-tuning speech AI models, such as ASR (Automatic Speech Recognition) and TTS (Text-to-Speech) models.

By encompassing diverse audio data featuring different accents, languages, and speaking styles, these datasets empower the development of robust and accurate speech AI models capable of understanding and generating human speech with high fidelity.