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 21012150 of 6433 papers

TitleStatusHype
ATC-ANNO: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation0
A Lexical-aware Non-autoregressive Transformer-based ASR Model0
Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model0
Correction Focused Language Model Training for Speech Recognition0
Corpus Synthesis for Zero-shot ASR domain Adaptation using Large Language Models0
Corpus Phonetics Tutorial0
Alex: Bootstrapping a Spoken Dialogue System for a New Domain by Real Users0
Active Learning Based Fine-Tuning Framework for Speech Emotion Recognition0
A Coarse-Grained Model for Optimal Coupling of ASR and SMT Systems for Speech Translation0
Corpus Generation for Voice Command in Smart Home and the Effect of Speech Synthesis on End-to-End SLU0
Corpus Development of Kiswahili Speech Recognition Test and Evaluation sets, Preemptively Mitigating Demographic Bias Through Collaboration with Linguists0
A Systematic Approach to Derive a Refined Speech Corpus for Sinhala0
Corpora for Cross-Language Information Retrieval in Six Less-Resourced Languages0
CORILGA: a Galician Multilevel Annotated Speech Corpus for Linguistic Analysis0
A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction0
A Leveled Reading Corpus of Modern Standard Arabic0
CORDIC Is All You Need0
Asynchronous Tool Usage for Real-Time Agents0
Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition0
Asynchronous Decentralized Distributed Training of Acoustic Models0
A LDA-Based Topic Classification Approach From Highly Imperfect Automatic Transcriptions0
Active and Semi-Supervised Learning in ASR: Benefits on the Acoustic and Language Models0
ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition0
Convo: What does conversational programming need? An exploration of machine learning interface design0
A Swiss German Dictionary: Variation in Speech and Writing0
Convolutional Variational Autoencoders for Spectrogram Compression in Automatic Speech Recognition0
Convolutional Speech Recognition with Pitch and Voice Quality Features0
A large-scale multimodal dataset of human speech recognition0
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting0
Convolutional Neural Networks for Speech Controlled Prosthetic Hands0
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models0
A Survey on Spoken Italian Datasets and Corpora0
A language score based output selection method for multilingual speech recognition0
AC-Mix: Self-Supervised Adaptation for Low-Resource Automatic Speech Recognition using Agnostic Contrastive Mixup0
使用字典學習法於強健性語音辨識 (The Use of Dictionary Learning Approach for Robustness Speech Recognition) [In Chinese]0
Convolutional Attention-based Seq2Seq Neural Network for End-to-End ASR0
A Survey on Speech Large Language Models0
Convoifilter: A case study of doing cocktail party speech recognition0
Converting Continuous-Space Language Models into N-Gram Language Models for Statistical Machine Translation0
A survey on recently proposed activation functions for Deep Learning0
A Language Agnostic Multilingual Streaming On-Device ASR System0
Conversion of Acoustic Signal (Speech) Into Text By Digital Filter using Natural Language Processing0
Conversational Speech Recognition Needs Data? Experiments with Austrian German0
A Survey on Paralinguistics in Tamil Speech Processing0
Effective Cross-Utterance Language Modeling for Conversational Speech Recognition0
Conversational Speech Recognition by Learning Audio-textual Cross-modal Contextual Representation0
AKVSR: Audio Knowledge Empowered Visual Speech Recognition by Compressing Audio Knowledge of a Pretrained Model0
A CTC Triggered Siamese Network with Spatial-Temporal Dropout for Speech Recognition0
Conversational Speech Recognition By Learning Conversation-level Characteristics0
Conversational AI: The Science Behind the Alexa Prize0
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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