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 23012350 of 6433 papers

TitleStatusHype
A Highly Adaptive Acoustic Model for Accurate Multi-Dialect Speech Recognition0
Conformer-Based Speech Recognition On Extreme Edge-Computing Devices0
ASR error management for improving spoken language understanding0
Conformer-based Hybrid ASR System for Switchboard Dataset0
Conformer-based End-to-end Speech Recognition With Rotary Position Embedding0
ASR Error Detection via Audio-Transcript entailment0
A higher order Minkowski loss for improved prediction ability of acoustic model in ASR0
Acoustic to Articulatory Inversion of Speech; Data Driven Approaches, Challenges, Applications, and Future Scope0
Conformer Based Elderly Speech Recognition System for Alzheimer's Disease Detection0
Conformer-1: Robust ASR via Large-Scale Semisupervised Bootstrapping0
Configurable Privacy-Preserving Automatic Speech Recognition0
ASR Error Correction using Large Language Models0
A Hierarchical Reasoning Graph Neural Network for The Automatic Scoring of Answer Transcriptions in Video Job Interviews0
Confidence Score Based Conformer Speaker Adaptation for Speech Recognition0
ASR Error Correction and Domain Adaptation Using Machine Translation0
Confidence-based Ensembles of End-to-End Speech Recognition Models0
ASR-EC Benchmark: Evaluating Large Language Models on Chinese ASR Error Correction0
A Hierarchical Neural Model for Learning Sequences of Dialogue Acts0
Acoustics-guided evaluation (AGE): a new measure for estimating performance of speech enhancement algorithms for robust ASR0
A Challenge Set for Advancing Language Modeling0
Conditioning Sequence-to-sequence Networks with Learned Activations0
Conditional Random Field-based Parser and Language Model for Tradi-tional Chinese Spelling Checker0
Concept-Based Embeddings for Natural Language Processing0
ASR Bundestag: A Large-Scale political debate dataset in German0
CONATION: English Command Input/Output System for Computers0
Computing Word Classes Using Spectral Clustering0
ASR-based Features for Emotion Recognition: A Transfer Learning Approach0
Computing the Most Probable String with a Probabilistic Finite State Machine0
Computing Optimal Location of Microphone for Improved Speech Recognition0
ASR-based CALL systems and learner speech data: new resources and opportunities for research and development in second language learning0
A hierarchical approach with feature selection for emotion recognition from speech0
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages0
Computer-Aided Quality Assurance of an Icelandic Pronunciation Dictionary0
ASR-Aware End-to-end Neural Diarization0
Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization0
Compute Cost Amortized Transformer for Streaming ASR0
ASR and Emotional Speech: A Word-Level Investigation of the Mutual Impact of Speech and Emotion Recognition0
AHD ConvNet for Speech Emotion Classification0
Computation and Parameter Efficient Multi-Modal Fusion Transformer for Cued Speech Recognition0
Computational Approaches to Arabic-English Code-Switching0
Automatic Speech Recognition Advancements for Indigenous Languages of the Americas0
Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices0
Comprehensive Punctuation Restoration for English and Polish0
ASR Adaptation for E-commerce Chatbots using Cross-Utterance Context and Multi-Task Language Modeling0
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding0
Acoustic-Phonetic Approach for ASR of Less Resourced Languages Using Monolingual and Cross-Lingual Information0
Accurate synthesis of Dysarthric Speech for ASR data augmentation0
Comprehensive Audio Query Handling System with Integrated Expert Models and Contextual Understanding0
Comprehending Real Numbers: Development of Bengali Real Number Speech Corpus0
Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding0
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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