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Automatic Speech Recognition

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Showing 2801–2850 of 3174 papers

TitleStatusHype
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
Synthetic Cross-accent Data Augmentation for Automatic Speech Recognition—0
Synt++: Utilizing Imperfect Synthetic Data to Improve Speech Recognition—0
Tag and correct: high precision post-editing approach to correction of speech recognition errors—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
Task-oriented Document-Grounded Dialog Systems by HLTPR@RWTH for DSTC9 and DSTC10—0
Task-Specific Audio Coding for Machines: Machine-Learned Latent Features Are Codes for That Machine—0
Teach an all-rounder with experts in different domains—0
Team MTS @ AutoMin 2021: An Overview of Existing Summarization Approaches and Comparison to Unsupervised Summarization Techniques—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
Text-only domain adaptation for end-to-end ASR using integrated text-to-mel-spectrogram generator—0
Text-Only Domain Adaptation for End-to-End Speech Recognition through Down-Sampling Acoustic Representation—0
Text-To-Speech Data Augmentation for Low Resource Speech Recognition—0
Thank you for Attention: A survey on Attention-based Artificial Neural Networks for Automatic Speech Recognition—0
That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages—0
The 2015 Sheffield System for Transcription of Multi-Genre Broadcast Media—0
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