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 301350 of 6433 papers

TitleStatusHype
Enhancing Monotonic Multihead Attention for Streaming ASRCode1
ESB: A Benchmark For Multi-Domain End-to-End Speech RecognitionCode1
Evaluating Speech Synthesis by Training Recognizers on Synthetic SpeechCode1
End-to-End Speech Recognition and Disfluency RemovalCode1
Attentive Sequence-to-Sequence Learning for Diacritic Restoration of Yorùbá Language TextCode1
End-to-End Speech Recognition from Federated Acoustic ModelsCode1
Attention model for articulatory features detectionCode1
Enhancing Multimodal Sentiment Analysis for Missing Modality through Self-Distillation and Unified Modality Cross-AttentionCode1
Audio-Visual Efficient Conformer for Robust Speech RecognitionCode1
Audio-Visual Representation Learning via Knowledge Distillation from Speech Foundation ModelsCode1
AutoDiCE: Fully Automated Distributed CNN Inference at the EdgeCode1
Automatic Speech Recognition Benchmark for Air-Traffic CommunicationsCode1
End-to-End Single-Channel Speaker-Turn Aware Conversational Speech TranslationCode1
ExKaldi-RT: A Real-Time Automatic Speech Recognition Extension Toolkit of KaldiCode1
Enhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based AdaptationCode1
Evaluating the visualization of what a Deep Neural Network has learnedCode1
Automatic Disfluency Detection from Untranscribed SpeechCode1
Automatic Lyrics Transcription using Dilated Convolutional Neural Networks with Self-AttentionCode1
Fast Development of ASR in African Languages using Self Supervised Speech Representation LearningCode1
Attention-based Audio-Visual Fusion for Robust Automatic Speech RecognitionCode1
AVATAR: Unconstrained Audiovisual Speech RecognitionCode1
A Variance-Preserving Interpolation Approach for Diffusion Models with Applications to Single Channel Speech Enhancement and RecognitionCode1
Accented Speech Recognition With Accent-specific CodebooksCode1
Bridging the Gaps of Both Modality and Language: Synchronous Bilingual CTC for Speech Translation and Speech RecognitionCode1
Attention-based Contextual Language Model Adaptation for Speech RecognitionCode1
BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense EvaluationCode1
EnCodecMAE: Leveraging neural codecs for universal audio representation learningCode1
Attack on practical speaker verification system using universal adversarial perturbationsCode1
FlanEC: Exploring Flan-T5 for Post-ASR Error CorrectionCode1
A Fully Differentiable Beam Search DecoderCode1
A Further Study of Unsupervised Pre-training for Transformer Based Speech RecognitionCode1
BembaSpeech: A Speech Recognition Corpus for the Bemba LanguageCode1
A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applicationsCode1
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning SimulationsCode1
3M: Multi-loss, Multi-path and Multi-level Neural Networks for speech recognitionCode1
Beyond Performance Plateaus: A Comprehensive Study on Scalability in Speech EnhancementCode1
BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control CommunicationsCode1
Generalizing in the Real World with Representation LearningCode1
Attention-Based Models for Speech RecognitionCode1
End-to-end Audio-visual Speech Recognition with ConformersCode1
Emotion Recognition from Speech Using Wav2vec 2.0 EmbeddingsCode1
BIG-C: a Multimodal Multi-Purpose Dataset for BembaCode1
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control CommunicationsCode1
Brazilian Portuguese Speech Recognition Using Wav2vec 2.0Code1
Emotion Recognition in Audio and Video Using Deep Neural NetworksCode1
A Discriminative Hierarchical PLDA-based Model for Spoken Language RecognitionCode1
Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-ArtCode1
A Systematic Comparison of Phonetic Aware Techniques for Speech EnhancementCode1
BrainBERT: Self-supervised representation learning for intracranial recordingsCode1
A transfer learning based approach for pronunciation scoringCode1
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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