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 38513900 of 6433 papers

TitleStatusHype
Speech Recognition using EEG signals recorded using dry electrodes0
Textual Echo Cancellation0
MASRI-HEADSET: A Maltese Corpus for Speech Recognition0
Large-scale Transfer Learning for Low-resource Spoken Language Understanding0
Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition0
Online Automatic Speech Recognition with Listen, Attend and Spell Model0
Transfer Learning Approaches for Streaming End-to-End Speech Recognition System0
Transformer with Bidirectional Decoder for Speech Recognition0
Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker RecordingsCode1
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition0
Knowledge Distillation and Data Selection for Semi-Supervised Learning in CTC Acoustic Models0
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices0
LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition0
Distilling the Knowledge of BERT for Sequence-to-Sequence ASRCode1
Word Error Rate Estimation Without ASR Output: e-WER2Code1
Deep Learning Based Dereverberation of Temporal Envelopesfor Robust Speech Recognition0
Pretraining Techniques for Sequence-to-Sequence Voice ConversionCode1
Investigation of Speaker-adaptation methods in Transformer based ASR0
Unsupervised Cross-Domain Singing Voice Conversion0
A Transfer Learning Method for Speech Emotion Recognition from Automatic Speech Recognition0
Shouted Speech Compensation for Speaker Verification Robust to Vocal Effort Conditions0
Iterative Compression of End-to-End ASR Model using AutoML0
Federated Transfer Learning with Dynamic Gradient Aggregation0
Attentive Fusion Enhanced Audio-Visual Encoding for Transformer Based Robust Speech Recognition0
Improving End-to-End Speech-to-Intent Classification with Reptile0
"This is Houston. Say again, please". The Behavox system for the Apollo-11 Fearless Steps Challenge (phase II)0
Weakly Supervised Construction of ASR Systems with Massive Video Data0
TutorNet: Towards Flexible Knowledge Distillation for End-to-End Speech Recognition0
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference0
Modular End-to-end Automatic Speech Recognition Framework for Acoustic-to-word Model0
An Investigation on Deep Learning with Beta Stabilizer0
Future Vector Enhanced LSTM Language Model for LVCSR0
Utterance-Wise Meeting Transcription System Using Asynchronous Distributed Microphones0
Developing RNN-T Models Surpassing High-Performance Hybrid Models with Customization Capability0
Privacy-preserving Voice Analysis via Disentangled Representations0
Exploiting Cross-Lingual Knowledge in Unsupervised Acoustic Modeling for Low-Resource Languages0
Neural Kalman Filtering for Speech Enhancement0
Team Deep Mixture of Experts for Distributed Power Control0
Efficient minimum word error rate training of RNN-Transducer for end-to-end speech recognition0
Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable ProjectionCode0
Video Super Resolution Based on Deep Learning: A Comprehensive Survey0
Consistent Transcription and Translation of SpeechCode0
Online Spatio-Temporal Learning in Deep Neural NetworksCode1
Applying GPGPU to Recurrent Neural Network Language Model based Fast Network Search in the Real-Time LVCSR0
Sequential Routing Framework: Fully Capsule Network-based Speech RecognitionCode0
Effects of Language Relatedness for Cross-lingual Transfer Learning in Character-Based Language Models0
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition0
DiffRNN: Differential Verification of Recurrent Neural Networks0
CoVoST 2 and Massively Multilingual Speech-to-Text TranslationCode1
SkipConvNet: Skip Convolutional Neural Network for Speech Dereverberation using Optimally Smoothed Spectral Mapping0
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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