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Automatic Speech Recognition

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Showing 2201–2250 of 3174 papers

TitleStatusHype
MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition—0
MLP-based architecture with variable length input for automatic speech recognition—0
ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets—0
ML-SUPERB: Multilingual Speech Universal PERformance Benchmark—0
MMGER: Multi-modal and Multi-granularity Generative Error Correction with LLM for Joint Accent and Speech Recognition—0
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition—0
MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones—0
Modality Dropout for Multimodal Device Directed Speech Detection using Verbal and Non-Verbal Features—0
Model Adaptation for ASR in low-resource Indian Languages—0
Model-Based Approach for Measuring the Fairness in ASR—0
Modeling Acoustic-Prosodic Cues for Word Importance Prediction in Spoken Dialogues—0
Modeling Confidence in Sequence-to-Sequence Models—0
Modeling Dependent Structure for Utterances in ASR Evaluation—0
Modeling State-Conditional Observation Distribution using Weighted Stereo Samples for Factorial Speech Processing Models—0
Modelling prosodic structure using Artificial Neural Networks—0
Modular End-to-end Automatic Speech Recognition Framework for Acoustic-to-word Model—0
MoLE : Mixture of Language Experts for Multi-Lingual Automatic Speech Recognition—0
Monaural Multi-Talker Speech Recognition using Factorial Speech Processing Models—0
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries—0
Monolingual Recognizers Fusion for Code-switching Speech Recognition—0
Monotonic segmental attention for automatic speech recognition—0
More Speaking or More Speakers?—0
Morphosyntactic Analysis for CHILDES—0
Motivations, challenges, and perspectives for the development of an Automatic Speech Recognition System for the under-resourced Ngiemboon Language—0
MSA-ASR: Efficient Multilingual Speaker Attribution with frozen ASR Models—0
MSDA: Combining Pseudo-labeling and Self-Supervision for Unsupervised Domain Adaptation in ASR—0
MS-HuBERT: Mitigating Pre-training and Inference Mismatch in Masked Language Modelling methods for learning Speech Representations—0
MSR-86K: An Evolving, Multilingual Corpus with 86,300 Hours of Transcribed Audio for Speech Recognition Research—0
MT2KD: Towards A General-Purpose Encoder for Speech, Speaker, and Audio Events—0
MTLM: Incorporating Bidirectional Text Information to Enhance Language Model Training in Speech Recognition Systems—0
MTL-SLT: Multi-Task Learning for Spoken Language Tasks—0
Mu^2SLAM: Multitask, Multilingual Speech and Language Models—0
Multi-channel Conversational Speaker Separation via Neural Diarization—0
Multi-channel Multi-frame ADL-MVDR for Target Speech Separation—0
Multi-Channel Multi-Speaker ASR Using 3D Spatial Feature—0
Multi-Channel Multi-Speaker ASR Using Target Speaker's Solo Segment—0
Multi-channel Opus compression for far-field automatic speech recognition with a fixed bitrate budget—0
Multi-Convformer: Extending Conformer with Multiple Convolution Kernels—0
Multi-Dialect Arabic Speech Recognition—0
Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition—0
Multi-encoder multi-resolution framework for end-to-end speech recognition—0
Multi-Geometry Spatial Acoustic Modeling for Distant Speech Recognition—0
Multi-Graph Decoding for Code-Switching ASR—0
Multi-Input Multi-Output Target-Speaker Voice Activity Detection For Unified, Flexible, and Robust Audio-Visual Speaker Diarization—0
Multi-Level Modeling Units for End-to-End Mandarin Speech Recognition—0
Multilingual Contextual Adapters To Improve Custom Word Recognition In Low-resource Languages—0
Multilingual End-to-End Speech Recognition with A Single Transformer on Low-Resource Languages—0
Multilingual End-to-End Speech Translation—0
Multilingual Speech Recognition using Knowledge Transfer across Learning Processes—0
Multilingual Speech Recognition With A Single End-To-End Model—0
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