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 10011050 of 6433 papers

TitleStatusHype
An End-to-end Architecture of Online Multi-channel Speech Separation0
Bayesian Reordering Model with Feature Selection0
Bayesian Transformer Language Models for Speech Recognition0
Bayes Risk Transducer: Transducer with Controllable Alignment Prediction0
BayesSpeech: A Bayesian Transformer Network for Automatic Speech Recognition0
BBS-KWS:The Mandarin Keyword Spotting System Won the Video Keyword Wakeup Challenge0
BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge0
BEA-Base: A Benchmark for ASR of Spontaneous Hungarian0
BEA-Base: A Benchmark for ASR of Spontaneous Hungarian0
'Beach' to 'Bitch': Inadvertent Unsafe Transcription of Kids' Content on YouTube0
An enhanced automatic speech recognition system for Arabic0
BECTRA: Transducer-based End-to-End ASR with BERT-Enhanced Encoder0
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition0
Belief Hidden Markov Model for speech recognition0
A two-stage transliteration approach to improve performance of a multilingual ASR0
Benchmarking Automatic Speech Recognition coupled LLM Modules for Medical Diagnostics0
Benchmarking Evaluation Metrics for Code-Switching Automatic Speech Recognition0
Benchmarking Foundation Speech and Language Models for Alzheimer's Disease and Related Dementia Detection from Spontaneous Speech0
Benchmarking Japanese Speech Recognition on ASR-LLM Setups with Multi-Pass Augmented Generative Error Correction0
Benchmarking LF-MMI, CTC and RNN-T Criteria for Streaming ASR0
Benchmarking Rotary Position Embeddings for Automatic Speech Recognition0
A Neural Morphological Analyzer for Arapaho Verbs Learned from a Finite State Transducer0
Almost-unsupervised Speech Recognition with Close-to-zero Resource Based on Phonetic Structures Learned from Very Small Unpaired Speech and Text Data0
A Tutorial on Deep Neural Networks for Intelligent Systems0
AlloVera: A Multilingual Allophone Database0
Adam Induces Implicit Weight Sparsity in Rectifier Neural Networks0
Attentive listening system with backchanneling, response generation and flexible turn-taking0
All-neural online source separation, counting, and diarization for meeting analysis0
Attentive Language Models0
Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition0
AdaMER-CTC: Connectionist Temporal Classification with Adaptive Maximum Entropy Regularization for Automatic Speech Recognition0
A Comparative Analysis of Bilingual and Trilingual Wav2Vec Models for Automatic Speech Recognition in Multilingual Oral History Archives0
Bridging Speech and Text: Enhancing ASR with Pinyin-to-Character Pre-training in LLMs0
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks0
Attentive Adversarial Learning for Domain-Invariant Training0
Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation0
All-neural beamformer for continuous speech separation0
Attention-Guided Adaptation for Code-Switching Speech Recognition0
A Likelihood Ratio based Domain Adaptation Method for E2E Models0
Adam^+: A Stochastic Method with Adaptive Variance Reduction0
Attention Enhanced Citrinet for Speech Recognition0
Attention-based Wav2Text with Feature Transfer Learning0
Align, Write, Re-order: Explainable End-to-End Speech Translation via Operation Sequence Generation0
Attention-based Transducer for Online 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
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio0
使用長短期記憶類神經網路建構中文語音辨識器之研究 (A study on Mandarin speech recognition using Long Short-Term Memory neural network) [In Chinese]0
Attention based on-device streaming speech recognition with large speech corpus0
Attention-based Neural Beamforming Layers for Multi-channel Speech Recognition0
Show:102550
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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