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 11011150 of 6433 papers

TitleStatusHype
A Lexical-aware Non-autoregressive Transformer-based ASR Model0
Alex: Bootstrapping a Spoken Dialogue System for a New Domain by Real Users0
Active Learning Based Fine-Tuning Framework for Speech Emotion Recognition0
Towards interfacing large language models with ASR systems using confidence measures and prompting0
Automatic Spelling Correction with Transformer for CTC-based End-to-End Speech Recognition0
A Systematic Approach to Derive a Refined Speech Corpus for Sinhala0
A Synergistic Framework of Nonlinear Acoustic Computing and Reinforcement Learning for Real-World Human-Robot Interaction0
A Leveled Reading Corpus of Modern Standard Arabic0
Asynchronous Tool Usage for Real-Time Agents0
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
A Swiss German Dictionary: Variation in Speech and Writing0
A large-scale multimodal dataset of human speech recognition0
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
A Multitask Training Approach to Enhance Whisper with Contextual Biasing and Open-Vocabulary Keyword Spotting0
A Survey on Speech Large Language Models0
A survey on recently proposed activation functions for Deep Learning0
A Language Agnostic Multilingual Streaming On-Device ASR System0
A Survey on Paralinguistics in Tamil Speech Processing0
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
A Survey on Methods and Theories of Quantized Neural Networks0
A Survey on Evolutionary Neural Architecture Search0
A kernel for time series based on global alignments0
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms0
Towards a Robust Deep Neural Network in Texts: A Survey0
A Joint Spectro-Temporal Relational Thinking Based Acoustic Modeling Framework0
A CTC Alignment-based Non-autoregressive Transformer for End-to-end Automatic Speech Recognition0
A Clustering-Based Method for Automatic Educational Video Recommendation Using Deep Face-Features of Lecturers0
A Survey of the Recent Architectures of Deep Convolutional Neural Networks0
A Joint Model of Orthography and Morphological Segmentation0
A Closer Look at Wav2Vec2 Embeddings for On-Device Single-Channel Speech Enhancement0
A Survey of Multilingual Models for Automatic Speech Recognition0
A Joint Approach to Compound Splitting and Idiomatic Compound Detection0
A Crowdsourcing Smartphone Application for Swiss German: Putting Language Documentation in the Hands of the Users0
4D ASR: Joint modeling of CTC, Attention, Transducer, and Mask-Predict decoders0
A Supervised STDP-based Training Algorithm for Living Neural Networks0
A Subband-Based SVM Front-End for Robust ASR0
A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models0
A study on the impact of Self-Supervised Learning on automatic dysarthric speech assessment0
AIx Speed: Playback Speed Optimization Using Listening Comprehension of Speech Recognition Models0
Causal Structure Discovery for Error Diagnostics of Children's ASR0
CEASR: A Corpus for Evaluating Automatic Speech Recognition0
A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding0
A Study on the Integration of Pipeline and E2E SLU systems for Spoken Semantic Parsing toward STOP Quality Challenge0
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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
9Gated ConvNetsWord Error Rate (WER)4.8Unverified
10HMM-TDNN + iVectorsWord 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
7HMM-TDNN + pNorm + speed up/down speechPercentage error12.9Unverified
8DNN MPEPercentage error12.9Unverified
9DNN MMIPercentage error12.9Unverified
10CNN + Bi-RNN + CTC (speech to letters), 25.9% WER if trainedonlyon SWBPercentage 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
6TC-DNN-BLSTM-DNNWord Error Rate (WER)3.5Unverified
7Convolutional Speech RecognitionWord 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