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 51515200 of 6433 papers

TitleStatusHype
Highly-Reverberant Real Environment database: HRRE0
Multilingual bottleneck features for subword modeling in zero-resource languagesCode0
Acoustic feature learning using cross-domain articulatory measurements0
Speech to text and text to speech recognition systems-Areview0
TBD: Benchmarking and Analyzing Deep Neural Network Training0
Advancing Connectionist Temporal Classification With Attention Modeling0
Resource aware design of a deep convolutional-recurrent neural network for speech recognition through audio-visual sensor fusion0
From Nodes to Networks: Evolving Recurrent Neural Networks0
Speech Recognition: Keyword Spotting Through Image Recognition0
Extracting Domain Invariant Features by Unsupervised Learning for Robust Automatic Speech Recognition0
Deep-FSMN for Large Vocabulary Continuous Speech RecognitionCode0
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches0
On Modular Training of Neural Acoustics-to-Word Model for LVCSR0
Challenges in Speech Recognition and Translation of High-Value Low-Density Polysynthetic Languages0
Evaluating Automatic Speech Recognition in Translation0
Portable Speech-to-Speech Translation on an Android Smartphone: The MFLTS System0
On the Derivational Entropy of Left-to-Right Probabilistic Finite-State Automata and Hidden Markov Models0
Neural Network Methods for Natural Language Processing by Yoav Goldberg0
XNMT: The eXtensible Neural Machine Translation ToolkitCode1
Deep Feed-forward Sequential Memory Networks for Speech Synthesis0
Automatic Speech Recognition and Topic Identification for Almost-Zero-Resource Languages0
Neural Predictive Coding using Convolutional Neural Networks towards Unsupervised Learning of Speaker Characteristics0
High Order Recurrent Neural Networks for Acoustic Modelling0
Sequence-based Multi-lingual Low Resource Speech Recognition0
Distilling Knowledge Using Parallel Data for Far-field Speech Recognition0
Visual-Only Recognition of Normal, Whispered and Silent Speech0
Improved TDNNs using Deep Kernels and Frequency Dependent Grid-RNNs0
End-to-end Audiovisual Speech RecognitionCode0
Articulatory information and Multiview Features for Large Vocabulary Continuous Speech Recognition0
Interpreting DNN output layer activations: A strategy to cope with unseen data in speech recognition0
Deep Learning for Lip Reading using Audio-Visual Information for Urdu Language0
Tools and resources for Romanian text-to-speech and speech-to-text applicationsCode0
From Gameplay to Symbolic Reasoning: Learning SAT Solver Heuristics in the Style of Alpha(Go) ZeroCode0
Structured-based Curriculum Learning for End-to-end English-Japanese Speech Translation0
Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples0
Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation EvaluationCode0
Recurrent Neural Network-Based Semantic Variational Autoencoder for Sequence-to-Sequence LearningCode0
Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition0
Learning from Past Mistakes: Improving Automatic Speech Recognition Output via Noisy-Clean Phrase Context ModelingCode0
Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders0
Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription0
Deep Learning Works in Practice. But Does it Work in Theory?0
Accelerating recurrent neural network language model based online speech recognition system0
A Corpus for Modeling Word Importance in Spoken Dialogue Transcripts0
A Multi-Biometrics for Twins Identification Based Speech and Ear0
CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition0
Multilingual Training and Cross-lingual Adaptation on CTC-based Acoustic Model0
A Hardware-Friendly Algorithm for Scalable Training and Deployment of Dimensionality Reduction Models on FPGA0
Conversational AI: The Science Behind the Alexa Prize0
Audio Adversarial Examples: Targeted Attacks on Speech-to-TextCode0
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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