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 37013750 of 6433 papers

TitleStatusHype
Multi-Task Self-Supervised Pre-Training for Music Classification0
Intermediate Loss Regularization for CTC-based Speech Recognition0
Two-Stage Augmentation and Adaptive CTC Fusion for Improved Robustness of Multi-Stream End-to-End ASR0
General-Purpose Speech Representation Learning through a Self-Supervised Multi-Granularity Framework0
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with SubwordsCode0
Effects of Number of Filters of Convolutional Layers on Speech Recognition Model Accuracy0
The Multilingual TEDx Corpus for Speech Recognition and Translation0
Internal Language Model Training for Domain-Adaptive End-to-End Speech Recognition0
On Scaling Contrastive Representations for Low-Resource Speech Recognition0
Robust Attack Detection Approach for IIoT Using Ensemble Classifier0
Speech Recognition by Simply Fine-tuning BERT0
BCN2BRNO: ASR System Fusion for Albayzin 2020 Speech to Text Challenge0
Bounds on mutual information of mixture data for classification tasks0
Transformer Based Deliberation for Two-Pass Speech Recognition0
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec0
A Review of Speaker Diarization: Recent Advances with Deep Learning0
Streaming Models for Joint Speech Recognition and Translation0
Understanding the Tradeoffs in Client-side Privacy for Downstream Speech TasksCode0
Exploiting Beam Search Confidence for Energy-Efficient Speech Recognition0
Noisy-target Training: A Training Strategy for DNN-based Speech Enhancement without Clean Speech0
Arabic Speech Recognition by End-to-End, Modular Systems and HumanCode0
VOTE400(Voide Of The Elderly 400 Hours): A Speech Dataset to Study Voice Interface for Elderly-Care0
Efficiently Fusing Pretrained Acoustic and Linguistic Encoders for Low-resource Speech Recognition0
Fast offline Transformer-based end-to-end automatic speech recognition for real-world applications0
An evaluation of word-level confidence estimation for end-to-end automatic speech recognition0
WER-BERT: Automatic WER Estimation with BERT in a Balanced Ordinal Classification Paradigm0
BRDS: An FPGA-based LSTM Accelerator with Row-Balanced Dual-Ratio Sparsification0
Hypothesis Stitcher for End-to-End Speaker-attributed ASR on Long-form Multi-talker Recordings0
Data Quality Measures and Efficient Evaluation Algorithms for Large-Scale High-Dimensional DataCode0
Domain-aware Neural Language Models for Speech Recognition0
DEVI: Open-source Human-Robot Interface for Interactive Receptionist SystemsCode0
HMM-based phoneme speech recognition system for the control and command of industrial robots0
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition0
Uncertain Out-of-Domain Generalization0
Why Does Decentralized Training Outperform Synchronous Training In The Large Batch Setting?0
Learning without Forgetting: Task Aware Multitask Learning for Multi-Modality Tasks0
Learning Monotonic Alignments with Source-Aware GMM Attention0
Sparsifying Networks via Subdifferential Inclusion0
The simpler the better: vanilla sgd revisited0
Multi-channel Multi-frame ADL-MVDR for Target Speech Separation0
Speech Synthesis as Augmentation for Low-Resource ASR0
Applying Wav2vec2.0 to Speech Recognition in Various Low-resource Languages0
Limitations of Deep Neural Networks: a discussion of G. Marcus' critical appraisal of deep learning0
A Hierarchical Reasoning Graph Neural Network for The Automatic Scoring of Answer Transcriptions in Video Job Interviews0
Adversarial Meta Sampling for Multilingual Low-Resource Speech Recognition0
Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval0
Adjust-free adversarial example generation in speech recognition using evolutionary multi-objective optimization under black-box condition0
Toward Streaming ASR with Non-Autoregressive Insertion-based Model0
CIF-based Collaborative Decoding for End-to-end Contextual Speech Recognition0
Exploring Transfer Learning For End-to-End Spoken Language Understanding0
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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