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Automatic Speech Recognition

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Showing 2451–2500 of 3174 papers

TitleStatusHype
Boosting Active Learning for Speech Recognition with Noisy Pseudo-labeled Samples—0
Joint Speaker Counting, Speech Recognition, and Speaker Identification for Overlapped Speech of Any Number of Speakers—0
Towards Automated Assessment of Stuttering and Stuttering Therapy—0
Quantization of Acoustic Model Parameters in Automatic Speech Recognition Framework—0
End-to-End Code Switching Language Models for Automatic Speech Recognition—0
Exploration of End-to-End ASR for OpenSTT -- Russian Open Speech-to-Text Dataset—0
The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6 Challenge—0
Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification TasksCode0
Data Augmentation for Training Dialog Models Robust to Speech Recognition Errors—0
Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition—0
Improving Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation—0
On the Effectiveness of Neural Text Generation based Data Augmentation for Recognition of Morphologically Rich Speech—0
Contextual RNN-T For Open Domain ASR—0
Multi-talker ASR for an unknown number of sources: Joint training of source counting, separation and ASR—0
Transfer Learning for British Sign Language Modelling—0
Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer—0
Detecting Audio Attacks on ASR Systems with Dropout Uncertainty—0
Dilated U-net based approach for multichannel speech enhancement from First-Order Ambisonics recordings—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
An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features—0
Analyse de l'effet de la r\'everb\'eration sur la reconnaissance automatique de la parole (Analyzing how reverberation affects Automatic Speech Recognition)—0
Constrained Variational Autoencoder for improving EEG based Speech Recognition Systems—0
Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition—0
Introduction d'informations s\'emantiques dans un syst\`eme de reconnaissance de la parole (Despite spectacular advances in recent years, the Automatic Speech Recognition (ASR) systems still make mistakes, especially in noisy environments)—0
Reconnaissance automatique de la parole : g\'en\'eration des prononciations non natives pour l'enrichissement du lexique (In this study we propose a method for lexicon adaptation in order to improve the automatic speech recognition (ASR) of non-native speakers)—0
Dynamic Masking for Improved Stability in Spoken Language Translation—0
An Audio-enriched BERT-based Framework for Spoken Multiple-choice Question Answering—0
FT Speech: Danish Parliament Speech Corpus—0
An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling—0
Detecting Adversarial Examples for Speech Recognition via Uncertainty QuantificationCode0
Large scale evaluation of importance maps in automatic speech recognition—0
A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition—0
Investigation of Large-Margin Softmax in Neural Language Modeling—0
Early Stage LM Integration Using Local and Global Log-Linear Combination—0
Iterative Pseudo-Labeling for Speech RecognitionCode0
Improving Proper Noun Recognition in End-to-End ASR By Customization of the MWER Loss Criterion—0
A systematic comparison of grapheme-based vs. phoneme-based label units for encoder-decoder-attention models—0
Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech RecognitionCode0
Quaternion Neural Networks for Multi-channel Distant Speech Recognition—0
Weak-Attention Suppression For Transformer Based Speech Recognition—0
Audio-visual Multi-channel Recognition of Overlapped Speech—0
An Effective End-to-End Modeling Approach for Mispronunciation Detection—0
That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages—0
Reducing Spelling Inconsistencies in Code-Switching ASR using Contextualized CTC Loss—0
Dynamic Sparsity Neural Networks for Automatic Speech Recognition—0
AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition—0
Context-Dependent Acoustic Modeling without Explicit Phone Clustering—0
Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model—0
You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation—0
Coupled Training of Sequence-to-Sequence Models for Accented Speech RecognitionCode0
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