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 751800 of 6433 papers

TitleStatusHype
A Comparative Study on Speaker-attributed Automatic Speech Recognition in Multi-party Meetings0
Towards Better Understanding of Spontaneous Conversations: Overcoming Automatic Speech Recognition Errors With Intent Recognition0
Analysis of Dysarthric Speech using Distinctive Feature Recognition0
Analysis of dropout learning regarded as ensemble learning0
Adapting Text-based Dialogue State Tracker for Spoken Dialogues0
Automated Preamble Detection in Dictated Medical Reports0
Analysis of Dropout in Online Learning0
Analysis and Tuning of a Voice Assistant System for Dysfluent Speech0
Adapting self-supervised models to multi-talker speech recognition using speaker embeddings0
Analyse de l'effet de la r\'everb\'eration sur la reconnaissance automatique de la parole (Analyzing how reverberation affects Automatic Speech Recognition)0
An Alternative to Low-level-Sychrony-Based Methods for Speech Detection0
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation0
Automated scoring across different modalities0
An affective computational model for machine consciousness0
A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition0
A baseline model for computationally inexpensive speech recognition for Kazakh using the Coqui STT framework0
An Adaptive Psychoacoustic Model for Automatic Speech Recognition0
An Adapter-Based Unified Model for Multiple Spoken Language Processing Tasks0
Adapting OpenAI's Whisper for Speech Recognition on Code-Switch Mandarin-English SEAME and ASRU2019 Datasets0
Sentence-wise Speech Summarization: Task, Datasets, and End-to-End Modeling with LM Knowledge Distillation0
An Adapter based Multi-label Pre-training for Speech Separation and Enhancement0
An adaptable task-oriented dialog system for stand-alone embedded devices0
Adapting Multilingual Speech Representation Model for a New, Underresourced Language through Multilingual Fine-tuning and Continued Pretraining0
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition0
A Multiscale Autoencoder (MSAE) Framework for End-to-End Neural Network Speech Enhancement0
Adapting Multi-Lingual ASR Models for Handling Multiple Talkers0
A Comparative Study on Multichannel Speaker-Attributed Automatic Speech Recognition in Multi-party Meetings0
Automated Essay Scoring Based on Finite State Transducer: towards ASR Transcription of Oral English Speech0
Automated scoring of speaking items in an assessment for teachers of English as a Foreign Language0
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset0
A Multi Purpose and Large Scale Speech Corpus in Persian and English for Speaker and Speech Recognition: the DeepMine Database0
A Multimodal Framework for Video Ads Understanding0
A Multimodal Dense Retrieval Approach for Speech-Based Open-Domain Question Answering0
Adapting GPT, GPT-2 and BERT Language Models for Speech Recognition0
A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks0
A Multimodal Corpus of Rapid Dialogue Games0
A Multimodal Approach to Device-Directed Speech Detection with Large Language Models0
Multilingual Approach to Joint Speech and Accent Recognition with DNN-HMM Framework0
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation0
Adapting general-purpose speech recognition engine output for domain-specific natural language question answering0
A Comparative Study of Reinforcement Learning Techniques on Dialogue Management0
A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech Translation0
A Multi-Biometrics for Twins Identification Based Speech and Ear0
Adapting Automatic Speech Recognition for Accented Air Traffic Control Communications0
AMPS: ASR with Multimodal Paraphrase Supervision0
Amortized Neural Networks for Low-Latency Speech Recognition0
Adapting an Unadaptable ASR System0
A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio0
Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning0
A Morphological Analyzer for Shipibo-Konibo0
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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