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Automatic Speech Recognition

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Showing 2601–2650 of 3174 papers

TitleStatusHype
SapAugment: Learning A Sample Adaptive Policy for Data Augmentation—0
Saving RNN Computations with a Neuron-Level Fuzzy Memoization Scheme—0
CIF-T: A Novel CIF-based Transducer Architecture for Automatic Speech Recognition—0
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data—0
Scalable Multi Corpora Neural Language Models for ASR—0
SCaLa: Supervised Contrastive Learning for End-to-End Speech Recognition—0
Scaling A Simple Approach to Zero-Shot Speech Recognition—0
Scaling ASR Improves Zero and Few Shot Learning—0
Scaling Up Deliberation for Multilingual ASR—0
Scene-aware Far-field Automatic Speech Recognition—0
SC-MoE: Switch Conformer Mixture of Experts for Unified Streaming and Non-streaming Code-Switching ASR—0
SEAL: Speech Embedding Alignment Learning for Speech Large Language Model with Retrieval-Augmented Generation—0
SE-Bridge: Speech Enhancement with Consistent Brownian Bridge—0
Security and Privacy Problems in Voice Assistant Applications: A Survey—0
Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition—0
Seewo's Submission to MLC-SLM: Lessons learned from Speech Reasoning Language Models—0
Segment-Level Vectorized Beam Search Based on Partially Autoregressive Inference—0
Self-Attention Aligner: A Latency-Control End-to-End Model for ASR Using Self-Attention Network and Chunk-Hopping—0
Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-field Speech Recognition—0
Self-consistent context aware conformer transducer for speech recognition—0
Self-critical Sequence Training for Automatic Speech Recognition—0
Self-Normalized Importance Sampling for Neural Language Modeling—0
Self-regularised Minimum Latency Training for Streaming Transformer-based Speech Recognition—0
Self-supervised Adaptive Pre-training of Multilingual Speech Models for Language and Dialect Identification—0
Self-Supervised Learning-Based Source Separation for Meeting Data—0
Self-supervised Learning with Speech Modulation Dropout—0
Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations—0
Self-supervised reinforcement learning for speaker localisation with the iCub humanoid robot—0
Self-supervised representations in speech-based depression detection—0
Semi-supervised Sequence-to-sequence ASR using Unpaired Speech and Text—0
Self-Supervised Speech Quality Assessment (S3QA): Leveraging Speech Foundation Models for a Scalable Speech Quality Metric—0
Self-Supervised Speech Representation Learning: A Review—0
SELMA: A Speech-Enabled Language Model for Virtual Assistant Interactions—0
Semantic Data Augmentation for End-to-End Mandarin Speech Recognition—0
Semantic Distance: A New Metric for ASR Performance Analysis Towards Spoken Language Understanding—0
Semantic Language Model for Tunisian Dialect—0
Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction—0
Semantic-WER: A Unified Metric for the Evaluation of ASR Transcript for End Usability—0
SeMaScore : a new evaluation metric for automatic speech recognition tasks—0
Semi-Autoregressive Streaming ASR With Label Context—0
Semi-supervised acoustic modelling for five-lingual code-switched ASR using automatically-segmented soap opera speech—0
Semi-supervised acoustic model training for speech with code-switching—0
Semi-supervised ASR by End-to-end Self-training—0
Semi-supervised Learning for Code-Switching ASR with Large Language Model Filter—0
Semi-supervised Learning with Sparse Autoencoders in Phone Classification—0
Semi-Supervised Speech Recognition via Graph-based Temporal Classification—0
Sentence Boundary Augmentation For Neural Machine Translation Robustness—0
Sentence segmentation of aphasic speech—0
Sentiment-Aware Automatic Speech Recognition pre-training for enhanced Speech Emotion Recognition—0
SepALM: Audio Language Models Are Error Correctors for Robust Speech Separation—0
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