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 15011550 of 6433 papers

TitleStatusHype
Online Hybrid CTC/Attention End-to-End Automatic Speech Recognition Architecture0
Transcribing Educational Videos Using Whisper: A preliminary study on using AI for transcribing educational videos0
Knowledge-Aware Audio-Grounded Generative Slot Filling for Limited Annotated Data0
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework0
Boosting Norwegian Automatic Speech Recognition0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages0
Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters0
Conformer LLMs -- Convolution Augmented Large Language Models0
Using joint training speaker encoder with consistency loss to achieve cross-lingual voice conversion and expressive voice conversionCode1
Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable SpacingsCode1
Automatic Speech Recognition of Non-Native Child Speech for Language Learning Applications0
LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPTCode1
Leveraging Cross-Utterance Context For ASR Decoding0
Long-term Conversation Analysis: Exploring Utility and PrivacyCode0
Prompting Large Language Models for Zero-Shot Domain Adaptation in Speech Recognition0
Accelerating Transducers through Adjacent Token Merging0
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms0
Confidence-based Ensembles of End-to-End Speech Recognition Models0
Scaling Laws for Discriminative Speech Recognition Rescoring Models0
Reducing the gap between streaming and non-streaming Transducer-based ASR by adaptive two-stage knowledge distillation0
Hyper-parameter Adaptation of Conformer ASR Systems for Elderly and Dysarthric Speech Recognition0
Large-scale unsupervised audio pre-training for video-to-speech synthesis0
Factorised Speaker-environment Adaptive Training of Conformer Speech Recognition Systems0
Master-ASR: Achieving Multilingual Scalability and Low-Resource Adaptation in ASR with Modular Learning0
The CHiME-7 DASR Challenge: Distant Meeting Transcription with Multiple Devices in Diverse Scenarios0
Towards Effective and Compact Contextual Representation for Conformer Transducer Speech Recognition Systems0
Meta-Gating Framework for Fast and Continuous Resource Optimization in Dynamic Wireless Environments0
AudioPaLM: A Large Language Model That Can Speak and Listen0
Exploring the Role of Audio in Video Captioning0
Strategies in Transfer Learning for Low-Resource Speech Synthesis: Phone Mapping, Features Input, and Source Language Selection0
Federated Self-Learning with Weak Supervision for Speech Recognition0
Learning When to Trust Which Teacher for Weakly Supervised ASR0
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-SupervisionCode1
NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive LearningCode1
Mixture Encoder for Joint Speech Separation and Recognition0
Quilt-1M: One Million Image-Text Pairs for HistopathologyCode1
HK-LegiCoST: Leveraging Non-Verbatim Transcripts for Speech TranslationCode0
Multi-pass Training and Cross-information Fusion for Low-resource End-to-end Accented Speech Recognition0
Rehearsal-Free Online Continual Learning for Automatic Speech RecognitionCode0
DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic ModelCode1
SURT 2.0: Advances in Transducer-based Multi-talker Speech RecognitionCode0
Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech RecognitionCode1
MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech RecognitionCode1
STHG: Spatial-Temporal Heterogeneous Graph Learning for Advanced Audio-Visual DiarizationCode1
MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones0
Distillation Strategies for Discriminative Speech Recognition Rescoring0
Pushing the Limits of Unsupervised Unit Discovery for SSL Speech RepresentationCode1
Lexical Speaker Error Correction: Leveraging Language Models for Speaker Diarization Error Correction0
EM-Network: Oracle Guided Self-distillation for Sequence Learning0
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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