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 19011950 of 6433 papers

TitleStatusHype
Distributed Hessian-Free Optimization for Deep Neural Network0
Attention-based Wav2Text with Feature Transfer Learning0
Align, Write, Re-order: Explainable End-to-End Speech Translation via Operation Sequence Generation0
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition0
Distribution Aware Metrics for Conditional Natural Language Generation0
Dive deeper: Deep Semantics for Sentiment Analysis0
CTC Variations Through New WFST Topologies0
Attention-based Transducer for Online Speech Recognition0
CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition0
DNN-Based Multilingual Automatic Speech Recognition for Wolaytta using Oromo Speech0
DNN-Based Semantic Model for Rescoring N-best Speech Recognition List0
DNN-based uncertainty estimation for weighted DNN-HMM ASR0
CTC Blank Triggered Dynamic Layer-Skipping for Efficient CTC-based Speech Recognition0
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
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework0
Do End-to-End Speech Recognition Models Care About Context?0
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio0
Does Single-channel Speech Enhancement Improve Keyword Spotting Accuracy? A Case Study0
CTC-Assisted LLM-Based Contextual ASR0
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?0
Does Whisper understand Swiss German? An automatic, qualitative, and human evaluation0
CTC Alignments Improve Autoregressive Translation0
Attention based on-device streaming speech recognition with large speech corpus0
CS-Dialogue: A 104-Hour Dataset of Spontaneous Mandarin-English Code-Switching Dialogues for Speech Recognition0
Domain Adaptation via Teacher-Student Learning for End-to-End Speech Recognition0
Domain Adversarial Neural Networks for Dysarthric Speech Recognition0
Domain Adversarial Training for Accented Speech Recognition0
Domain-aware Neural Language Models for Speech Recognition0
Attention-based Neural Beamforming Layers for Multi-channel Speech Recognition0
Domain Generalization: A Survey0
Cross-Utterance Language Models with Acoustic Error Sampling0
Prompt Tuning GPT-2 language model for parameter-efficient domain adaptation of ASR systems0
Cross-utterance Reranking Models with BERT and Graph Convolutional Networks for Conversational Speech Recognition0
Cross-Modal Transformer-Based Neural Correction Models for Automatic Speech Recognition0
Align-Refine: Non-Autoregressive Speech Recognition via Iterative Realignment0
Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters0
Cross-Modal Mutual Learning for Cued Speech Recognition0
Cross-modal Knowledge Transfer Learning as Graph Matching Based on Optimal Transport for ASR0
Cross-Modal ASR Post-Processing System for Error Correction and Utterance Rejection0
Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?0
Attention based end to end Speech Recognition for Voice Search in Hindi and English0
Do You Listen with One or Two Microphones? A Unified ASR Model for Single and Multi-Channel Audio0
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation0
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling0
DPSNN: Spiking Neural Network for Low-Latency Streaming Speech Enhancement0
DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition0
DRAFT: A Novel Framework to Reduce Domain Shifting in Self-supervised Learning and Its Application to Children's ASR0
Driven Decoding for machine translation (Vers un d\'ecodage guid\'e pour la traduction automatique) [in French]0
Driving ROVER with Segment-based ASR Quality Estimation0
Alignment Restricted Streaming Recurrent Neural Network Transducer0
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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