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Automatic Speech Recognition

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Showing 976–1000 of 3174 papers

TitleStatusHype
Multimodal Data and Resource Efficient Device-Directed Speech Detection with Large Foundation Models—0
Integrating Pre-Trained Speech and Language Models for End-to-End Speech Recognition—0
Bigger is not Always Better: The Effect of Context Size on Speech Pre-TrainingCode0
End-to-End Speech-to-Text Translation: A Survey—0
End-to-end Joint Punctuated and Normalized ASR with a Limited Amount of Punctuated Training Data—0
A Quantitative Approach to Understand Self-Supervised Models as Cross-lingual Feature ExtractorsCode0
Weak Alignment Supervision from Hybrid Model Improves End-to-end ASR—0
Soft Random Sampling: A Theoretical and Empirical Analysis—0
LIP-RTVE: An Audiovisual Database for Continuous Spanish in the WildCode0
How does end-to-end speech recognition training impact speech enhancement artifacts?—0
App for Resume-Based Job Matching with Speech Interviews and Grammar Analysis: A Review—0
Label-Synchronous Neural Transducer for Adaptable Online E2E Speech Recognition—0
ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding—0
Multi-channel Conversational Speaker Separation via Neural Diarization—0
Improving Large-scale Deep Biasing with Phoneme Features and Text-only Data in Streaming Transducer—0
Retrieve and Copy: Scaling ASR Personalization to Large Catalogs—0
On the Effectiveness of ASR Representations in Real-world Noisy Speech Emotion Recognition—0
1SPU: 1-step Speech Processing Unit—0
A comparative analysis between Conformer-Transducer, Whisper, and wav2vec2 for improving the child speech recognitionCode0
Fine-tuning convergence model in Bengali speech recognition—0
Pseudo-Labeling for Domain-Agnostic Bangla Automatic Speech RecognitionCode0
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning—0
Server-side Rescoring of Spoken Entity-centric Knowledge Queries for Virtual Assistants—0
RIR-SF: Room Impulse Response Based Spatial Feature for Target Speech Recognition in Multi-Channel Multi-Speaker Scenarios—0
Combining Language Models For Specialized Domains: A Colorful Approach—0
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