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 56515700 of 6433 papers

TitleStatusHype
Structured State Space Decoder for Speech Recognition and Synthesis0
Structured Transforms for Small-Footprint Deep Learning0
STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions0
Student achievement and French sentence repetition test scores0
Student-Teacher Learning for BLSTM Mask-based Speech Enhancement0
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Neural Network Algorithm0
Study and Observation of the Variations of Accuracies for Handwritten Digits Recognition with Various Hidden Layers and Epochs using Convolutional Neural Network0
Studying the Effect of Audio Filters in Pre-Trained Models for Environmental Sound Classification0
Studying the Similarity of COVID-19 Sounds based on Correlation Analysis of MFCC0
Study of Indian English Pronunciation Variabilities relative to Received Pronunciation0
Study of Semi-supervised Approaches to Improving English-Mandarin Code-Switching Speech Recognition0
StutterNet: Stuttering Detection Using Time Delay Neural Network0
Stutter-TTS: Controlled Synthesis and Improved Recognition of Stuttered Speech0
Style-agnostic evaluation of ASR using multiple reference transcripts0
Style-Talker: Finetuning Audio Language Model and Style-Based Text-to-Speech Model for Fast Spoken Dialogue Generation0
Style Variation as a Vantage Point for Code-Switching0
Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition0
Sub-8-bit quantization for on-device speech recognition: a regularization-free approach0
分頻式調變頻譜分解於強健性語音辨識 (Sub-band modulation spectrum factorization in robust speech recognition) [In Chinese]0
Subject Envelope based Multitype Reconstruction Algorithm of Speech Samples of Parkinson's Disease0
Subject Enveloped Deep Sample Fuzzy Ensemble Learning Algorithm of Parkinson's Speech Data0
Sub-lexical Dialogue Act Classification in a Spoken Dialogue System Support for the Elderly with Cognitive Disabilities0
Subword and Crossword Units for CTC Acoustic Models0
Subword Dictionary Learning and Segmentation Techniques for Automatic Speech Recognition in Tamil and Kannada0
Sub-word Level Lip Reading With Visual Attention0
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition0
Successes and critical failures of neural networks in capturing human-like speech recognition0
Suffix Trees as Language Models0
SUH_ASR@LT-EDI-ACL2022: Transformer based Approach for Speech Recognition for Vulnerable Individuals in Tamil0
Summary on the ISCSLP 2022 Chinese-English Code-Switching ASR Challenge0
Supervised Adaptation of Sequence-to-Sequence Speech Recognition Systems using Batch-Weighting0
Supervised and Unsupervised Transfer Learning for Question Answering0
Supervised Attention in Sequence-to-Sequence Models for Speech Recognition0
Supervised Contrastive Learning for Accented Speech Recognition0
Supervised level-wise pretraining for recurrent neural network initialization in multi-class classification0
Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields0
Supervision-Guided Codebooks for Masked Prediction in Speech Pre-training0
Sur l'utilisation de la reconnaissance automatique de la parole pour l'aide au diagnostic diff\'erentiel entre la maladie de Parkinson et l'AMS (On using automatic speech recognition for the differential diagnosis of Parkinson's Disease and MSA This article presents a study regarding the contribution of automatic speech processing in the differential diagnosis between Parkinson's disease and MSA (Multi-System Atrophies))0
Surrogate Gradient Spiking Neural Networks as Encoders for Large Vocabulary Continuous Speech Recognition0
Survey of Machine Learning Accelerators0
SUTAV: A Turkish Audio-Visual Database0
Svarah: Evaluating English ASR Systems on Indian Accents0
Swedish Whispers; Leveraging a Massive Speech Corpus for Swedish Speech Recognition0
SwinLip: An Efficient Visual Speech Encoder for Lip Reading Using Swin Transformer0
Switching Independent Vector Analysis and Its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithms0
SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN0
Syllabification by Phone Categorization0
Syllable and language model based features for detecting non-scorable tests in spoken language proficiency assessment applications0
Syllable based DNN-HMM Cantonese Speech to Text System0
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition0
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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