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 701750 of 6433 papers

TitleStatusHype
Advancing African-Accented Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR ModelsCode0
An Adversarial Approach for Explaining the Predictions of Deep Neural NetworksCode0
Jasper: An End-to-End Convolutional Neural Acoustic ModelCode0
Joint Automatic Speech Recognition And Structure Learning For Better Speech UnderstandingCode0
Iterative pseudo-forced alignment by acoustic CTC loss for self-supervised ASR domain adaptationCode0
Investigating Weight-Perturbed Deep Neural Networks With Application in Iris Presentation Attack DetectionCode0
Iterative Pseudo-Labeling for Speech RecognitionCode0
Joint CTC-Attention based End-to-End Speech Recognition using Multi-task LearningCode0
Interpersonal Relationship Labels for the CALLHOME CorpusCode0
Intrinsic evaluation of language models for code-switchingCode0
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for ConversationsCode0
Investigating Generative Adversarial Networks based Speech Dereverberation for Robust Speech RecognitionCode0
Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech RecognitionCode0
Indian EmoSpeech Command Dataset: A dataset for emotion based speech recognition in the wildCode0
Integrated Semantic and Phonetic Post-correction for Chinese Speech RecognitionCode0
Investigating the Effects of Word Substitution Errors on Sentence EmbeddingsCode0
Improving Unsupervised Sparsespeech Acoustic Models with Categorical ReparameterizationCode0
Improving Voice Separation by Incorporating End-to-end Speech RecognitionCode0
Incremental Training of a Recurrent Neural Network Exploiting a Multi-Scale Dynamic MemoryCode0
A Morphology-aware Network for Morphological DisambiguationCode0
Improving speech recognition by revising gated recurrent unitsCode0
Improving the Inclusivity of Dutch Speech Recognition by Fine-tuning Whisper on the JASMIN-CGN CorpusCode0
A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision QuantizationCode0
Improving Slot Filling in Spoken Language Understanding with Joint Pointer and AttentionCode0
Independent and automatic evaluation of acoustic-to-articulatory inversion modelsCode0
Investigating the Emergent Audio Classification Ability of ASR Foundation ModelsCode0
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter ItCode0
Improving CTC-based speech recognition via knowledge transferring from pre-trained language modelsCode0
Improving LSTM-CTC based ASR performance in domains with limited training dataCode0
Improving Automatic Speech Recognition for Non-Native English with Transfer Learning and Language Model DecodingCode0
Improved Speech Enhancement with the Wave-U-NetCode0
Adaptation Algorithms for Neural Network-Based Speech Recognition: An OverviewCode0
Improved training for online end-to-end speech recognition systemsCode0
Improving Children's Speech Recognition by Fine-tuning Self-supervised Adult Speech RepresentationsCode0
ImportantAug: a data augmentation agent for speechCode0
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech RecognitionCode0
Improved acoustic-to-articulatory inversion using representations from pretrained self-supervised learning modelsCode0
I3D: Transformer architectures with input-dependent dynamic depth for speech recognitionCode0
Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language ModelsCode0
Improving RNN Transducer Modeling for End-to-End Speech RecognitionCode0
HYBRIDFORMER: improving SqueezeFormer with hybrid attention and NSR mechanismCode0
Hybrid ASR for Resource-Constrained Robots: HMM - Deep Learning FusionCode0
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural NetworksCode0
A comparative analysis between Conformer-Transducer, Whisper, and wav2vec2 for improving the child speech recognitionCode0
Human Transcription Quality ImprovementCode0
Hybrid phonetic-neural model for correction in speech recognition systemsCode0
AdaCS: Adaptive Normalization for Enhanced Code-Switching ASRCode0
How You Say It Matters: Measuring the Impact of Verbal Disfluency Tags on Automated Dementia DetectionCode0
How Phonotactics Affect Multilingual and Zero-shot ASR PerformanceCode0
HuBERT-EE: Early Exiting HuBERT for Efficient Speech RecognitionCode0
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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