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 62516300 of 6433 papers

TitleStatusHype
LT-LM: a novel non-autoregressive language model for single-shot lattice rescoringCode0
Writer adaptation for offline text recognition: An exploration of neural network-based methodsCode0
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property PredictionCode0
Written Term Detection Improves Spoken Term DetectionCode0
Analyzing Hidden Representations in End-to-End Automatic Speech Recognition SystemsCode0
Recurrent DNNs and its Ensembles on the TIMIT Phone Recognition TaskCode0
Generative Adversarial Networks for Unpaired Voice Transformation on Impaired SpeechCode0
Online and Linear-Time Attention by Enforcing Monotonic AlignmentsCode0
Transformer-Based Approaches for Automatic Music TranscriptionCode0
Vocoder-free End-to-End Voice Conversion with Transformer NetworkCode0
Machine Perceptual Quality: Evaluating the Impact of Severe Lossy Compression on Audio and Image ModelsCode0
Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence LearningCode0
Data augmentation using prosody and false starts to recognize non-native children's speechCode0
End-to-End Learning of Speech 2D Feature-Trajectory for Prosthetic HandsCode0
Recurrent Neural Network RegularizationCode0
Macsen: A Voice Assistant for Speakers of a Lesser Resourced LanguageCode0
End-to-end Audiovisual Speech RecognitionCode0
Shallow Fusion of Weighted Finite-State Transducer and Language Model for Text NormalizationCode0
Adaptive Computation Modules: Granular Conditional Computation For Efficient InferenceCode0
Star Temporal Classification: Sequence Classification with Partially Labeled DataCode0
Recurrent Neural Network Transducer for Audio-Visual Speech RecognitionCode0
Towards a Competitive End-to-End Speech Recognition for CHiME-6 Dinner Party TranscriptionCode0
On Monotonic Aggregation for Open-domain QACode0
Generating gender-ambiguous voices for privacy-preserving speech recognitionCode0
Cross-lingual Transfer for Speech Processing using Acoustic Language SimilarityCode0
On Out-of-Distribution Detection for Audio with Deep Nearest NeighborsCode0
ADIMA: Abuse Detection In Multilingual AudioCode0
Generating Data with Text-to-Speech and Large-Language Models for Conversational Speech RecognitionCode0
Gammatonegram Representation for End-to-End Dysarthric Speech Processing Tasks: Speech Recognition, Speaker Identification, and Intelligibility AssessmentCode0
Game of Gradients: Mitigating Irrelevant Clients in Federated LearningCode0
A Simplified Fully Quantized Transformer for End-to-end Speech RecognitionCode0
RED-ACE: Robust Error Detection for ASR using Confidence EmbeddingsCode0
State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention With Dilated 1D ConvolutionsCode0
Character-Level Incremental Speech Recognition with Recurrent Neural NetworksCode0
Transformer-based End-to-End Speech Recognition with Local Dense Synthesizer AttentionCode0
Analysis of French Phonetic Idiosyncrasies for Accent RecognitionCode0
Audiovisual Speaker Tracking using Nonlinear Dynamical Systems with Dynamic Stream WeightsCode0
Onssen: an open-source speech separation and enhancement libraryCode0
End-to-End Attention-based Large Vocabulary Speech RecognitionCode0
Reducing Language confusion for Code-switching Speech Recognition with Token-level Language DiarizationCode0
A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGACode0
Cross-domain Speech Recognition with Unsupervised Character-level Distribution MatchingCode0
ASR Benchmarking: Need for a More Representative Conversational DatasetCode0
Audio Segmentation for Robust Real-Time Speech Recognition Based on Neural NetworksCode0
Transformer-Based Named Entity Recognition for Automated Server ProvisioningCode0
A Deep Relevance Matching Model for Ad-hoc RetrievalCode0
Transformer Based Punctuation Restoration for TurkishCode0
MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the BibleCode0
On the End-to-End Solution to Mandarin-English Code-switching Speech RecognitionCode0
BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech RecognitionCode0
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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