GigaSpeech

Dataset Card for Gigaspeech Dataset Description GigaSpeech is an evolving, multi-domain English speech recognition corpus with 10,000 hours of high quality labeled audio suitable for supervised training. The transcribed audio data is collected from audiobooks, podcasts and YouTube, covering both read and spontaneous sp

Papers using GigaSpeech (13)

Hybrid Decoding: Rapid Pass and Selective Detailed Correction for Sequence Models2025 · 1 citesExploring Cross-Utterance Speech Contexts for Conformer-Transducer Speech Recognition Systems2025CR-CTC: Consistency regularization on CTC for improved speech recognition2024Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks2024 · 7 citesGigaST: A 10,000-hour Pseudo Speech Translation Corpus2022 · 2 citesEnd-to-end contextual asr based on posterior distribution adaptation for hybrid ctc/attention system2022 · 1 citesDistillW2V2: A Small and Streaming Wav2vec 2.0 Based ASR Model2023 · 1 citesLongFNT: Long-form Speech Recognition with Factorized Neural Transducer2022Connecting Speech Encoder and Large Language Model for ASR2023Updated Corpora and Benchmarks for Long-Form Speech Recognition2023Improving Automatic Speech Recognition with Decoder-Centric Regularisation in Encoder-Decoder Models2024Late fusion ensembles for speech recognition on diverse input audio representations2024Advanced Long-Content Speech Recognition With Factorized Neural Transducer2024