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 30013050 of 6433 papers

TitleStatusHype
PhaseFool: Phase-oriented Audio Adversarial Examples via Energy Dissipation0
Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems0
Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable0
Conditioning Sequence-to-sequence Networks with Learned Activations0
Synthesising Audio Adversarial Examples for Automatic Speech Recognition0
Will a Blind Model Hear Better? Advanced Audiovisual Recognition System with Brain-Like Compensating and Gating0
EP-GAN: Unsupervised Federated Learning with Expectation-Propagation Prior GAN0
Learnability of convolutional neural networks for infinite dimensional input via mixed and anisotropic smoothness0
MLP-based architecture with variable length input for automatic speech recognition0
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards0
Speech-MLP: a simple MLP architecture for speech processing0
Understanding the Role of Self Attention for Efficient Speech Recognition0
Comparison of Self-Supervised Speech Pre-Training Methods on Flemish Dutch0
Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks0
FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition0
Word-level confidence estimation for RNN transducers0
Private Language Model Adaptation for Speech Recognition0
Neural Dependency Coding inspired Multimodal Fusion0
"How Robust r u?": Evaluating Task-Oriented Dialogue Systems on Spoken ConversationsCode1
Factorized Neural Transducer for Efficient Language Model AdaptationCode1
Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden IntermediatesCode3
Challenges and Opportunities of Speech Recognition for Bengali Language0
BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition0
Topic Model Robustness to Automatic Speech Recognition Errors in Podcast Transcripts0
SD-QA: Spoken Dialectal Question Answering for the Real WorldCode1
Optimized Power Normalized Cepstral Coefficients towards Robust Deep Speaker Verification0
A Lightweight dynamic filter for keyword spotting0
Scenario Aware Speech Recognition: Advancements for Apollo Fearless Steps & CHiME-4 Corpora0
Simple and Effective Zero-shot Cross-lingual Phoneme RecognitionCode0
Animal inspired Application of a Variant of Mel Spectrogram for Seismic Data Processing0
Learning Domain Specific Language Models for Automatic Speech Recognition through Machine Translation0
On the Difficulty of Segmenting Words with Attention0
Robustness Analysis of Deep Learning Frameworks on Mobile PlatformsCode0
iRNN: Integer-only Recurrent Neural Network0
Audio-Visual Speech Recognition is Worth 32328 Voxels0
MeetDot: Videoconferencing with Live Translation Captions0
Wav-BERT: Cooperative Acoustic and Linguistic Representation Learning for Low-Resource Speech Recognition0
Model-Based Approach for Measuring the Fairness in ASR0
AI Accelerator Survey and TrendsCode1
Multimodal Audio-textual Architecture for Robust Spoken Language Understanding0
Dual-Encoder Architecture with Encoder Selection for Joint Close-Talk and Far-Talk Speech Recognition0
PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription0
Utterance-level neural confidence measure for end-to-end children speech recognition0
Improving Streaming Transformer Based ASR Under a Framework of Self-supervised Learning0
Improving Accent Identification and Accented Speech Recognition Under a Framework of Self-supervised Learning0
Residual Adapters for Parameter-Efficient ASR Adaptation to Atypical and Accented Speech0
LRWR: Large-Scale Benchmark for Lip Reading in Russian language0
Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech RecognitionCode1
Non-autoregressive Transformer with Unified Bidirectional Decoder for Automatic Speech Recognition0
Multi-Sentence Resampling: A Simple Approach to Alleviate Dataset Length Bias and Beam-Search DegradationCode0
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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