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Speech Recognition

259 papers with code · Speech

Speech recognition is the task of recognising speech within audio and converting it into text.

( Image credit: SpecAugment )

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Greatest papers with code

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

8 Dec 2015tensorflow/models

We show that an end-to-end deep learning approach can be used to recognize either English or Mandarin Chinese speech--two vastly different languages.

 SOTA for Speech Recognition on WSJ eval93 (using extra training data)

ACCENTED SPEECH RECOGNITION END-TO-END SPEECH RECOGNITION NOISY SPEECH RECOGNITION

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

18 Apr 2019mozilla/DeepSpeech

On LibriSpeech, we achieve 6. 8% WER on test-other without the use of a language model, and 5. 8% WER with shallow fusion with a language model.

DATA AUGMENTATION END-TO-END SPEECH RECOGNITION LANGUAGE MODELLING SPEECH RECOGNITION

Deep Speech: Scaling up end-to-end speech recognition

17 Dec 2014mozilla/DeepSpeech

We present a state-of-the-art speech recognition system developed using end-to-end deep learning.

ACCENTED SPEECH RECOGNITION END-TO-END SPEECH RECOGNITION

vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations

ICLR 2020 pytorch/fairseq

We propose vq-wav2vec to learn discrete representations of audio segments through a wav2vec-style self-supervised context prediction task.

SELF-SUPERVISED LEARNING SPEECH RECOGNITION

wav2vec: Unsupervised Pre-training for Speech Recognition

11 Apr 2019pytorch/fairseq

Our experiments on WSJ reduce WER of a strong character-based log-mel filterbank baseline by up to 36% when only a few hours of transcribed data is available.

SPEECH RECOGNITION

Semi-Supervised Speech Recognition via Local Prior Matching

24 Feb 2020facebookresearch/wav2letter

For sequence transduction tasks like speech recognition, a strong structured prior model encodes rich information about the target space, implicitly ruling out invalid sequences by assigning them low probability.

LANGUAGE MODELLING SPEECH RECOGNITION

End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures

19 Nov 2019facebookresearch/wav2letter

We study pseudo-labeling for the semi-supervised training of ResNet, Time-Depth Separable ConvNets, and Transformers for speech recognition, with either CTC or Seq2Seq loss functions.

#3 best model for Speech Recognition on LibriSpeech test-clean (using extra training data)

END-TO-END SPEECH RECOGNITION LANGUAGE MODELLING SPEECH RECOGNITION

wav2letter++: The Fastest Open-source Speech Recognition System

18 Dec 2018facebookresearch/wav2letter

This paper introduces wav2letter++, the fastest open-source deep learning speech recognition framework.

SPEECH RECOGNITION

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs

12 Aug 2014baidu-research/warp-ctc

This approach to decoding enables first-pass speech recognition with a language model, completely unaided by the cumbersome infrastructure of HMM-based systems.

LANGUAGE MODELLING LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION SPEECH RECOGNITION