SOTAVerified

Speech Recognition

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 )

Papers

Showing 58015850 of 6433 papers

TitleStatusHype
A Tour of TensorFlow0
A Transfer Learning Method for Speech Emotion Recognition from Automatic Speech Recognition0
A Treatise On FST Lattice Based MMI Training0
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems0
Attention-based ASR with Lightweight and Dynamic Convolutions0
Attention-Based End-to-End Speech Recognition on Voice Search0
Attention based end to end Speech Recognition for Voice Search in Hindi and English0
Attention-based Neural Beamforming Layers for Multi-channel Speech Recognition0
Attention based on-device streaming speech recognition with large speech corpus0
Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native English0
Attention-based Transducer for Online Speech Recognition0
Attention-based Wav2Text with Feature Transfer Learning0
Attention Enhanced Citrinet for Speech Recognition0
Attention-Guided Adaptation for Code-Switching Speech Recognition0
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation0
Attentive Adversarial Learning for Domain-Invariant Training0
Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition0
Attentive Language Models0
Attentive listening system with backchanneling, response generation and flexible turn-taking0
A Tutorial on Deep Neural Networks for Intelligent Systems0
A two-stage transliteration approach to improve performance of a multilingual ASR0
A two-step approach to leverage contextual data: speech recognition in air-traffic communications0
Atypical Inputs in Educational Applications0
Atypical Prosodic Structure as an Indicator of Reading Level and Text Difficulty0
Audio-AdapterFusion: A Task-ID-free Approach for Efficient and Non-Destructive Multi-task Speech Recognition0
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition0
Audio Attacks and Defenses against AED Systems -- A Practical Study0
Audio-attention discriminative language model for ASR rescoring0
Audio-conditioned phonemic and prosodic annotation for building text-to-speech models from unlabeled speech data0
Audio-CoT: Exploring Chain-of-Thought Reasoning in Large Audio Language Model0
Audio De-identification: A New Entity Recognition Task0
Audio De-identification - a New Entity Recognition Task0
Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance0
AudioFool: Fast, Universal and synchronization-free Cross-Domain Attack on Speech Recognition0
Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable0
AudioPaLM: A Large Language Model That Can Speak and Listen0
Audio-Visual Decision Fusion for WFST-based and seq2seq Models0
Audio-visual fine-tuning of audio-only ASR models0
Audio-visual Multi-channel Integration and Recognition of Overlapped Speech0
Audio-visual Multi-channel Recognition of Overlapped Speech0
Audio-visual multi-channel speech separation, dereverberation and recognition0
Audio-visual Recognition of Overlapped speech for the LRS2 dataset0
Audio-Visual Speech and Gesture Recognition by Sensors of Mobile Devices0
Audio-Visual Speech Enhancement and Separation by Utilizing Multi-Modal Self-Supervised Embeddings0
Audio-Visual Speech Enhancement with Score-Based Generative Models0
Audio-Visual Speech Recognition is Worth 32328 Voxels0
Audio Visual Speech Recognition using Deep Recurrent Neural Networks0
Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture0
Auditory-Based Data Augmentation for End-to-End Automatic Speech Recognition0
Augmented Conversation with Embedded Speech-Driven On-the-Fly Referencing in AR0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1AmNetWord Error Rate (WER)8.6Unverified
2HMM-(SAT)GMMWord Error Rate (WER)8Unverified
3Local Prior Matching (Large Model)Word Error Rate (WER)7.19Unverified
4SnipsWord Error Rate (WER)6.4Unverified
5Li-GRUWord Error Rate (WER)6.2Unverified
6HMM-DNN + pNorm*Word Error Rate (WER)5.5Unverified
7CTC + policy learningWord Error Rate (WER)5.42Unverified
8Deep Speech 2Word Error Rate (WER)5.33Unverified
9HMM-TDNN + iVectorsWord Error Rate (WER)4.8Unverified
10Gated ConvNetsWord Error Rate (WER)4.8Unverified
#ModelMetricClaimedVerifiedStatus
1Local Prior Matching (Large Model)Word Error Rate (WER)20.84Unverified
2SnipsWord Error Rate (WER)16.5Unverified
3Local Prior Matching (Large Model, ConvLM LM)Word Error Rate (WER)15.28Unverified
4Deep Speech 2Word Error Rate (WER)13.25Unverified
5TDNN + pNorm + speed up/down speechWord Error Rate (WER)12.5Unverified
6CTC-CRF 4gram-LMWord Error Rate (WER)10.65Unverified
7Convolutional Speech RecognitionWord Error Rate (WER)10.47Unverified
8MT4SSLWord Error Rate (WER)9.6Unverified
9Jasper DR 10x5Word Error Rate (WER)8.79Unverified
10EspressoWord Error Rate (WER)8.7Unverified
#ModelMetricClaimedVerifiedStatus
1Deep SpeechPercentage error20Unverified
2DNN-HMMPercentage error18.5Unverified
3CD-DNNPercentage error16.1Unverified
4DNNPercentage error16Unverified
5DNN + DropoutPercentage error15Unverified
6DNN BMMIPercentage error12.9Unverified
7DNN MPEPercentage error12.9Unverified
8DNN MMIPercentage error12.9Unverified
9HMM-TDNN + pNorm + speed up/down speechPercentage error12.9Unverified
10HMM-DNN +sMBRPercentage error12.6Unverified
#ModelMetricClaimedVerifiedStatus
1LSNNPercentage error33.2Unverified
2LAS multitask with indicators samplingPercentage error20.4Unverified
3Soft Monotonic Attention (ours, offline)Percentage error20.1Unverified
4QCNN-10L-256FMPercentage error19.64Unverified
5Bi-LSTM + skip connections w/ CTCPercentage error17.7Unverified
6Bi-RNN + AttentionPercentage error17.6Unverified
7RNN-CRF on 24(x3) MFSCPercentage error17.3Unverified
8CNN in time and frequency + dropout, 17.6% w/o dropoutPercentage error16.7Unverified
9Light Gated Recurrent UnitsPercentage error16.7Unverified
10GRUPercentage error16.6Unverified
#ModelMetricClaimedVerifiedStatus
1AttWord Error Rate (WER)18.7Unverified
2CTC/AttWord Error Rate (WER)6.7Unverified
3BRA-EWord Error Rate (WER)6.63Unverified
4CTC-CRF 4gram-LMWord Error Rate (WER)6.34Unverified
5BATWord Error Rate (WER)4.97Unverified
6ParaformerWord Error Rate (WER)4.95Unverified
7U2Word Error Rate (WER)4.72Unverified
8UMAWord Error Rate (WER)4.7Unverified
9Lightweight TransducerWord Error Rate (WER)4.31Unverified
10CIF-HKD With LMWord Error Rate (WER)4.1Unverified
#ModelMetricClaimedVerifiedStatus
1Jasper 10x3Word Error Rate (WER)6.9Unverified
2CNN over RAW speech (wav)Word Error Rate (WER)5.6Unverified
3CTC-CRF 4gram-LMWord Error Rate (WER)3.79Unverified
4Deep Speech 2Word Error Rate (WER)3.6Unverified
5test-set on open vocabulary (i.e. harder), model = HMM-DNN + pNorm*Word Error Rate (WER)3.6Unverified
6Convolutional Speech RecognitionWord Error Rate (WER)3.5Unverified
7TC-DNN-BLSTM-DNNWord Error Rate (WER)3.5Unverified
8EspressoWord Error Rate (WER)3.4Unverified
9CTC-CRF VGG-BLSTMWord Error Rate (WER)3.2Unverified
10Transformer with Relaxed AttentionWord Error Rate (WER)3.19Unverified