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 13511400 of 6433 papers

TitleStatusHype
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures0
Comparing Two Basic Methods for Discriminating Between Similar Languages and Varieties0
Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain0
Comparison of Conventional Hybrid and CTC/Attention Decoders for Continuous Visual Speech Recognition0
Contextual Speech Recognition with Difficult Negative Training Examples0
Comparison of echo state network output layer classification methods on noisy data0
Comparison of Gender- and Speaker-adaptive Emotion Recognition0
Comparison of Grapheme-to-Phoneme Conversion Methods on a Myanmar Pronunciation Dictionary0
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR0
Comparison of Neural Network Architectures for Spectrum Sensing0
Comparison of parameters of vowel sounds of russian and english languages0
Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch0
Comparison of Soft and Hard Target RNN-T Distillation for Large-scale ASR0
Comparison of Time-Frequency Representations for Environmental Sound Classification using Convolutional Neural Networks0
Cocktail-Party Audio-Visual Speech Recognition0
A Speech-enabled Fixed-phrase Translator for Healthcare Accessibility0
Completely Unsupervised Speech Recognition By A Generative Adversarial Network Harmonized With Iteratively Refined Hidden Markov Models0
A Review of Recent Advances of Binary Neural Networks for Edge Computing0
Complex Evolution Recurrent Neural Networks (ceRNNs)0
Complex-Valued Time-Frequency Self-Attention for Speech Dereverberation0
Composing Finite State Transducers on GPUs0
Composition of Deep and Spiking Neural Networks for Very Low Bit Rate Speech Coding0
Affect Recognition in Conversations Using Large Language Models0
Comprehensive Audio Query Handling System with Integrated Expert Models and Contextual Understanding0
CoBiLiRo: A Research Platform for Bimodal Corpora0
Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices0
Computational Approaches to Arabic-English Code-Switching0
Computation and Parameter Efficient Multi-Modal Fusion Transformer for Cued Speech Recognition0
Compute Cost Amortized Transformer for Streaming ASR0
Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization0
Computer-Aided Quality Assurance of an Icelandic Pronunciation Dictionary0
CobaltF: A Fluent Metric for MT Evaluation0
Computing Optimal Location of Microphone for Improved Speech Recognition0
Computing the Most Probable String with a Probabilistic Finite State Machine0
Computing Word Classes Using Spectral Clustering0
CONATION: English Command Input/Output System for Computers0
A review of on-device fully neural end-to-end automatic speech recognition algorithms0
Concept-Based Embeddings for Natural Language Processing0
Conditional Random Field-based Parser and Language Model for Tradi-tional Chinese Spelling Checker0
Conditioning Sequence-to-sequence Networks with Learned Activations0
Confidence-based Ensembles of End-to-End Speech Recognition Models0
Acoustic data-driven lexicon learning based on a greedy pronunciation selection framework0
ASR Error Correction and Domain Adaptation Using Machine Translation0
Confidence Score Based Conformer Speaker Adaptation for Speech Recognition0
ASR Error Correction using Large Language Models0
Configurable Privacy-Preserving Automatic Speech Recognition0
Coarse-To-Fine And Cross-Lingual ASR Transfer0
Conformer Based Elderly Speech Recognition System for Alzheimer's Disease Detection0
Conformer-based End-to-end Speech Recognition With Rotary Position Embedding0
CoALT: A Software for Comparing Automatic Labelling Tools0
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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