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Automatic Speech Recognition (ASR)

Automatic Speech Recognition (ASR) involves converting spoken language into written text. It is designed to transcribe spoken words into text in real-time, allowing people to communicate with computers, mobile devices, and other technology using their voice. The goal of Automatic Speech Recognition is to accurately transcribe speech, taking into account variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality.

Papers

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Showing 2651–2700 of 3012 papers

TitleStatusHype
Streaming Punctuation: A Novel Punctuation Technique Leveraging Bidirectional Context for Continuous Speech Recognition—0
Streaming Punctuation for Long-form Dictation with Transformers—0
Streaming Simultaneous Speech Translation with Augmented Memory Transformer—0
Streaming Speech-to-Confusion Network Speech Recognition—0
Streaming Transformer ASR with Blockwise Synchronous Inference—0
Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation—0
Streaming Voice Conversion Via Intermediate Bottleneck Features And Non-streaming Teacher Guidance—0
Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks—0
StreamVoice+: Evolving into End-to-end Streaming Zero-shot Voice Conversion—0
Structural Analysis of Hindi Phonetics and A Method for Extraction of Phonetically Rich Sentences from a Very Large Hindi Text Corpus—0
Structured Dialogue Policy with Graph Neural Networks—0
Structured State Space Decoder for Speech Recognition and Synthesis—0
STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions—0
Student achievement and French sentence repetition test scores—0
Studying the Similarity of COVID-19 Sounds based on Correlation Analysis of MFCC—0
Study of Indian English Pronunciation Variabilities relative to Received Pronunciation—0
StutterNet: Stuttering Detection Using Time Delay Neural Network—0
Stutter-TTS: Controlled Synthesis and Improved Recognition of Stuttered Speech—0
Style-Talker: Finetuning Audio Language Model and Style-Based Text-to-Speech Model for Fast Spoken Dialogue Generation—0
Sub-8-bit quantization for on-device speech recognition: a regularization-free approach—0
Subword Dictionary Learning and Segmentation Techniques for Automatic Speech Recognition in Tamil and Kannada—0
Sub-word Level Lip Reading With Visual Attention—0
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition—0
SUH_ASR@LT-EDI-ACL2022: Transformer based Approach for Speech Recognition for Vulnerable Individuals in Tamil—0
Summary on the ISCSLP 2022 Chinese-English Code-Switching ASR Challenge—0
Supervision-Guided Codebooks for Masked Prediction in Speech Pre-training—0
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
Svarah: Evaluating English ASR Systems on Indian Accents—0
Switching Independent Vector Analysis and Its Extension to Blind and Spatially Guided Convolutional Beamforming Algorithms—0
Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition—0
Syntactic and Semantic Features For Code-Switching Factored Language Models—0
SynthASR: Unlocking Synthetic Data for Speech Recognition—0
Synthesising Audio Adversarial Examples for Automatic Speech Recognition—0
Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition—0
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition—0
TALCS: An Open-Source Mandarin-English Code-Switching Corpus and a Speech Recognition Baseline—0
Talk, Don't Write: A Study of Direct Speech-Based Image Retrieval—0
Targeted Adversarial Examples for Black Box Audio Systems—0
TASK AWARE MULTI-TASK LEARNING FOR SPEECH TO TEXT TASKS—0
Task-aware Warping Factors in Mask-based Speech Enhancement—0
Teach an all-rounder with experts in different domains—0
Technology-Augmented Multilingual Communication Models: New Interaction Paradigms, Shifts in the Language Services Industry, and Implications for Training Programs—0
TED-LIUM: an Automatic Speech Recognition dedicated corpus—0
Temporal Order Preserved Optimal Transport-based Cross-modal Knowledge Transfer Learning for ASR—0
Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation—0
Teochew-Wild: The First In-the-wild Teochew Dataset with Orthographic Annotations—0
Text Generation with Speech Synthesis for ASR Data Augmentation—0
Text Injection for Capitalization and Turn-Taking Prediction in Speech Models—0
Text Injection for Neural Contextual Biasing—0
Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis—0
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All datasetsLRS2RealMANSagaleeHUI speech corpusLRS3-TEDM-AILabs speech datasetThe Spoken Wikipedia CorporaVoxforge GermanVoxPopuli

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TM-CTCTest WER10.1—Unverified
2TM-seq2seqTest WER9.7—Unverified
3CTC/attentionTest WER8.2—Unverified
4LF-MMI TDNNTest WER6.7—Unverified
5Whisper-LLaMATest WER6.6—Unverified
6End2end ConformerTest WER3.9—Unverified
7End2end ConformerTest WER3.7—Unverified
8MoCo + wav2vec (w/o extLM)Test WER2.7—Unverified
9CTC/AttentionTest WER1.5—Unverified
10WhisperTest WER1.3—Unverified
#ModelMetricClaimedVerifiedStatus
1SpatialNetCER14.5—Unverified
2CleanMel-L-maskCER14.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ConformerTest WER15.32—Unverified
2Whisper-largev3-finetunedTest WER10.82—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)1.89—Unverified
#ModelMetricClaimedVerifiedStatus
1DistillAVWER1.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)4.28—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)8.04—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)3.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer Transducer (German)WER (%)8.98—Unverified