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 50515100 of 6433 papers

TitleStatusHype
An Explainable Adversarial Robustness Metric for Deep Learning Neural Networks0
From dictations to clinical reports using machine translation0
Practical Application of Domain Dependent Confidence Measurement for Spoken Language Understanding Systems0
Atypical Inputs in Educational Applications0
An automated medical scribe for documenting clinical encounters0
Generative Bridging Network for Neural Sequence Prediction0
Making Convolutional Networks Recurrent for Visual Sequence Learning0
Learning Hidden Unit Contribution for Adapting Neural Machine Translation Models0
Binarized LSTM Language Model0
Role-specific Language Models for Processing Recorded Neuropsychological Exams0
Dialog Generation Using Multi-Turn Reasoning Neural Networks0
Efficient Sequence Learning with Group Recurrent Networks0
SMILEE: Symmetric Multi-modal Interactions with Language-gesture Enabled (AI) Embodiment0
Grow and Prune Compact, Fast, and Accurate LSTMs0
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio0
End-to-end named entity extraction from speech0
Towards Lipreading Sentences with Active Appearance Models0
Multimodal Speaker Segmentation and Diarization using Lexical and Acoustic Cues via Sequence to Sequence Neural Networks0
Universality of Deep Convolutional Neural Networks0
Automatic context window composition for distant speech recognition0
Geometric Understanding of Deep Learning0
Accelerating CNN inference on FPGAs: A Survey0
Mixed-Precision Training for NLP and Speech Recognition with OpenSeq2SeqCode0
Task-dependent modulation of the visual sensory thalamus assists visual-speech recognition0
ASR-based Features for Emotion Recognition: A Transfer Learning Approach0
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural NetworksCode0
Targeted Adversarial Examples for Black Box Audio SystemsCode0
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces0
A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese0
Composing Finite State Transducers on GPUs0
A Purely End-to-end System for Multi-speaker Speech Recognition0
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks0
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning0
A comparable study of modeling units for end-to-end Mandarin speech recognition0
Transfer Learning from Adult to Children for Speech Recognition: Evaluation, Analysis and Recommendations0
Boosting Noise Robustness of Acoustic Model via Deep Adversarial Training0
A Vietnamese Dialog Act Corpus Based on ISO 24617-2 standard0
Creating Lithuanian and Latvian Speech Corpora from Inaccurately Annotated Web Data0
Matics Software Suite: New Tools for Evaluation and Data Exploration0
CPJD Corpus: Crowdsourced Parallel Speech Corpus of Japanese Dialects0
Interpersonal Relationship Labels for the CALLHOME CorpusCode0
Improved Transcription and Indexing of Oral History Interviews for Digital Humanities Research0
A Real-life, French-accented Corpus of Air Traffic Control Communications0
A Semi-autonomous System for Creating a Human-Machine Interaction Corpus in Virtual Reality: Application to the ACORFORMed System for Training Doctors to Break Bad News0
ASR for Documenting Acutely Under-Resourced Indigenous Languages0
Multilingual Parallel Corpus for Global Communication Plan0
Phonetically Balanced Code-Mixed Speech Corpus for Hindi-English Automatic Speech Recognition0
Unified Guidelines and Resources for Arabic Dialect Orthography0
Towards Processing of the Oral History Interviews and Related Printed Documents0
Open ASR for Icelandic: Resources and a Baseline System0
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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