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 26012650 of 6433 papers

TitleStatusHype
Integrating Lattice-Free MMI into End-to-End Speech RecognitionCode1
Unsupervised Text-to-Speech Synthesis by Unsupervised Automatic Speech RecognitionCode1
LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERTCode1
CMGAN: Conformer-based Metric GAN for Speech EnhancementCode2
Dual-Path Style Learning for End-to-End Noise-Robust Speech RecognitionCode1
Finnish Parliament ASR corpus - Analysis, benchmarks and statisticsCode0
On-the-Fly Feature Based Rapid Speaker Adaptation for Dysarthric and Elderly Speech Recognition0
A Dataset for Speech Emotion Recognition in Greek Theatrical PlaysCode0
Listen, Adapt, Better WER: Source-free Single-utterance Test-time Adaptation for Automatic Speech RecognitionCode1
A Speech Representation Anonymization Framework via Selective Noise PerturbationCode0
Speech-enhanced and Noise-aware Networks for Robust Speech RecognitionCode0
Impact of Dataset on Acoustic Models for Automatic Speech Recognition0
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning SimulationsCode1
Chain-based Discriminative Autoencoders for Speech Recognition0
Disentangleing Content and Fine-grained Prosody Information via Hybrid ASR Bottleneck Features for Voice Conversion0
Automatic Speech Recognition for Speech Assessment of Persian Preschool ChildrenCode1
Lahjoita puhetta -- a large-scale corpus of spoken Finnish with some benchmarks0
Computing Optimal Location of Microphone for Improved Speech Recognition0
Pseudo Label Is Better Than Human Label0
Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis0
A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis0
Modeling speech recognition and synthesis simultaneously: Encoding and decoding lexical and sublexical semantic information into speech with no direct access to speech data0
XTREME-S: Evaluating Cross-lingual Speech Representations0
Enhancing Speech Recognition Decoding via Layer Aggregation0
Similarity and Content-based Phonetic Self Attention for Speech Recognition0
Exploiting Cross Domain Acoustic-to-articulatory Inverted Features For Disordered Speech Recognition0
Representative Subset Selection for Efficient Fine-Tuning in Self-Supervised Speech Recognition0
Neural Predictor for Black-Box Adversarial Attacks on Speech RecognitionCode1
A^3T: Alignment-Aware Acoustic and Text Pretraining for Speech Synthesis and EditingCode1
Prediction of speech intelligibility with DNN-based performance measures0
Whither the Priors for (Vocal) Interactivity?0
Privacy-Preserving Speech Representation Learning using Vector Quantization0
Modelling word learning and recognition using visually grounded speech0
RED-ACE: Robust Error Detection for ASR using Confidence EmbeddingsCode0
Interpretable Dysarthric Speaker Adaptation based on Optimal-Transport0
Spectral Modification Based Data Augmentation For Improving End-to-End ASR For Children's Speech0
Transformer-based Streaming ASR with Cumulative Attention0
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems0
Sentence-Select: Large-Scale Language Model Data Selection for Rare-Word Speech Recognition0
DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question AnsweringCode1
Language Adaptive Cross-lingual Speech Representation Learning with Sparse Sharing Sub-networks0
A practical framework for multi-domain speech recognition and an instance sampling method to neural language modeling0
Creating Speech-to-Speech Corpus from Dubbed SeriesCode0
Building and curating conversational corpora for diversity-aware language science and technology0
Which French speech recognition system for assistant robots?0
Towards Contextual Spelling Correction for Customization of End-to-end Speech Recognition SystemsCode0
Measuring the Impact of Individual Domain Factors in Self-Supervised Pre-Training0
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR ErrorsCode1
Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR0
A Conformer Based Acoustic Model for Robust Automatic Speech Recognition0
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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