GigaSpeech
GigaSpeech is a significant ASR corpus consisting of 10,000 hours of transcribed audio designed for a broad range of speech recognition applications. The dataset continually evolves to support numerous speech recognition toolkits like Kaldi and ESPnet, ensuring easy data preparation. Featuring contributions from major institutions, it offers rich audio sources including audiobooks, podcasts, and YouTube content suitable for both supervised and semi-supervised learning. With detailed metadata and resampling guidelines, it aims to extend ASR features, supporting future tasks such as speaker identification and language diversification. A valuable resource for researchers and developers in need of a comprehensive audio dataset.
