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 19011950 of 6433 papers

TitleStatusHype
Distributed Hessian-Free Optimization for Deep Neural Network0
Auxiliary Multimodal LSTM for Audio-visual Speech Recognition and Lipreading0
Class-based LSTM Russian Language Model with Linguistic Information0
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition0
Distribution Aware Metrics for Conditional Natural Language Generation0
Dive deeper: Deep Semantics for Sentiment Analysis0
Class-Based Language Modeling for Translating into Morphologically Rich Languages0
A Random Gossip BMUF Process for Neural Language Modeling0
Citrinet: Closing the Gap between Non-Autoregressive and Autoregressive End-to-End Models for Automatic Speech Recognition0
DNN-Based Multilingual Automatic Speech Recognition for Wolaytta using Oromo Speech0
DNN-Based Semantic Model for Rescoring N-best Speech Recognition List0
DNN-based uncertainty estimation for weighted DNN-HMM ASR0
Adversarial synthesis based data-augmentation for code-switched spoken language identification0
Do as I mean, not as I say: Sequence Loss Training for Spoken Language Understanding0
Avaya Conversational Intelligence: A Real-Time System for Spoken Language Understanding in Human-Human Call Center Conversations0
Do End-to-End Speech Recognition Models Care About Context?0
AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition0
Does Single-channel Speech Enhancement Improve Keyword Spotting Accuracy? A Case Study0
Does Speech enhancement of publicly available data help build robust Speech Recognition Systems?0
Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?0
Does Whisper understand Swiss German? An automatic, qualitative, and human evaluation0
2020福爾摩沙臺語語音辨識比賽之初步實驗 (A Preliminary Study of Formosa Speech Recognition Challenge 2020 – Taiwanese ASR)0
Domain Adaptation of low-resource Target-Domain models using well-trained ASR Conformer Models0
AVFormer: Injecting Vision into Frozen Speech Models for Zero-Shot AV-ASR0
Domain Adaptation via Teacher-Student Learning for End-to-End Speech Recognition0
Domain Adversarial Neural Networks for Dysarthric Speech Recognition0
Domain Adversarial Training for Accented Speech Recognition0
Domain-aware Neural Language Models for Speech Recognition0
Dysarthric Speech Database for Development of QoLT Software Technology0
Domain Generalization: A Survey0
Domain-Informed Probing of wav2vec 2.0 Embeddings for Phonetic Features0
Prompt Tuning GPT-2 language model for parameter-efficient domain adaptation of ASR systems0
A Voice Controlled E-Commerce Web Application0
CIF-based Collaborative Decoding for End-to-end Contextual Speech Recognition0
CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning0
Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters0
Arabic Language WEKA-Based Dialect Classifier for Arabic Automatic Speech Recognition Transcripts0
Adversarial Speech Generation and Natural Speech Recovery for Speech Content Protection0
Churn Identification in Microblogs using Convolutional Neural Networks with Structured Logical Knowledge0
Do We Still Need Automatic Speech Recognition for Spoken Language Understanding?0
A Weakly-Supervised Streaming Multilingual Speech Model with Truly Zero-Shot Capability0
Do You Listen with One or Two Microphones? A Unified ASR Model for Single and Multi-Channel Audio0
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation0
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling0
DPSNN: Spiking Neural Network for Low-Latency Streaming Speech Enhancement0
DQ-Data2vec: Decoupling Quantization for Multilingual Speech Recognition0
DRAFT: A Novel Framework to Reduce Domain Shifting in Self-supervised Learning and Its Application to Children's ASR0
Driven Decoding for machine translation (Vers un d\'ecodage guid\'e pour la traduction automatique) [in French]0
Driving ROVER with Segment-based ASR Quality Estimation0
Chunked Attention-based Encoder-Decoder Model for Streaming Speech Recognition0
Show:102550
← PrevPage 39 of 129Next →

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