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 41514200 of 6433 papers

TitleStatusHype
Leveraging End-to-End Speech Recognition with Neural Architecture Search0
Leveraging Language ID to Calculate Intermediate CTC Loss for Enhanced Code-Switching Speech Recognition0
Leveraging Large Language Models for Exploiting ASR Uncertainty0
Leveraging Large Language Models in Visual Speech Recognition: Model Scaling, Context-Aware Decoding, and Iterative Polishing0
Leveraging Large Text Corpora for End-to-End Speech Summarization0
Leveraging LLM and Self-Supervised Training Models for Speech Recognition in Chinese Dialects: A Comparative Analysis0
Leveraging Modality-specific Representations for Audio-visual Speech Recognition via Reinforcement Learning0
Leveraging Native Language Speech for Accent Identification using Deep Siamese Networks0
Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade0
Leveraging Pretrained ASR Encoders for Effective and Efficient End-to-End Speech Intent Classification and Slot Filling0
Leveraging Pre-trained Language Model for Speech Sentiment Analysis0
Leveraging Prompt Learning and Pause Encoding for Alzheimer's Disease Detection0
Leveraging Redundancy in Multiple Audio Signals for Far-Field Speech Recognition0
Leveraging study of robustness and portability of spoken language understanding systems across languages and domains: the PORTMEDIA corpora0
Leveraging supplementary text data to kick-start automatic speech recognition system development with limited transcriptions0
Leveraging Timestamp Information for Serialized Joint Streaming Recognition and Translation0
Leveraging Uni-Modal Self-Supervised Learning for Multimodal Audio-visual Speech Recognition0
Leveraging Visemes for Better Visual Speech Representation and Lip Reading0
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation0
LeVoice ASR Systems for the ISCSLP 2022 Intelligent Cockpit Speech Recognition Challenge0
Lexical Access Model for Italian -- Modeling human speech processing: identification of words in running speech toward lexical access based on the detection of landmarks and other acoustic cues to features0
Lexical Speaker Error Correction: Leveraging Language Models for Speaker Diarization Error Correction0
Lexicon and Attention based Handwritten Text Recognition System0
Lexicon for Natural Language Generation in Spanish Adapted to Alternative and Augmentative Communication0
Lexicon-Free Conversational Speech Recognition with Neural Networks0
Lightly Supervised Quality Estimation0
Lightweight and Efficient End-to-End Speech Recognition Using Low-Rank Transformer0
Lightweight and Robust Multi-Channel End-to-End Speech Recognition with Spherical Harmonic Transform0
A Lightweight dynamic filter for keyword spotting0
Lightweight End-to-End Speech Recognition from Raw Audio Data Using Sinc-Convolutions0
Lightweight Operations for Visual Speech Recognition0
Lightweight Prompt Biasing for Contextualized End-to-End ASR Systems0
Lightweight Target-Speaker-Based Overlap Transcription for Practical Streaming ASR0
Limitations of Deep Neural Networks: a discussion of G. Marcus' critical appraisal of deep learning0
LingSync \& the Online Linguistic Database: New Models for the Collection and Management of Data for Language Communities, Linguists and Language Learners0
Linguistic-Enhanced Transformer with CTC Embedding for Speech Recognition0
Linguistic Search Optimization for Deep Learning Based LVCSR0
Linked Recurrent Neural Networks0
Link Weight Prediction with Node Embeddings0
LinTO Audio and Textual Datasets to Train and Evaluate Automatic Speech Recognition in Tunisian Arabic Dialect0
LinTO Platform: A Smart Open Voice Assistant for Business Environments0
Lip2Vec: Efficient and Robust Visual Speech Recognition via Latent-to-Latent Visual to Audio Representation Mapping0
LipDiffuser: Lip-to-Speech Generation with Conditional Diffusion Models0
LipGen: Viseme-Guided Lip Video Generation for Enhancing Visual Speech Recognition0
Lip Graph Assisted Audio-Visual Speech Recognition Using Bidirectional Synchronous Fusion0
Lip-Listening: Mixing Senses to Understand Lips using Cross Modality Knowledge Distillation for Word-Based Models0
Lip Reading Sentences in the Wild0
Lipreading with Long Short-Term Memory0
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading0
Listen Again and Choose the Right Answer: A New Paradigm for Automatic Speech Recognition with Large Language Models0
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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