speech-16
Speech Recognition
3260 papers • 126 benchmarks • 313 datasets
Speech Recognition is the task of converting spoken language into text. It involves recognizing the words spoken in an audio recording and transcribing them into a written format. The goal is to accurately transcribe the speech in real-time or from recorded audio, taking into account factors such as accents, speaking speed, and background noise. ( Image credit: SpecAugment )
(Image credit: Open Source)
Benchmarks
These leaderboards are used to track progress in speech-recognition-16
Trend
Dataset
Best Model
Actions
LibriSpeech test-clean
LibriSpeech test-clean
LibriSpeech test-other
LibriSpeech test-other
TIMIT
Libraries
iUse these libraries to find speech-recognition-16 models and implementations
13 papers 29
Datasets
No datasets available.
