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Automatic Speech Recognition

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Showing 1301–1350 of 3174 papers

TitleStatusHype
Factual Consistency Oriented Speech Recognition—0
Can Whisper perform speech-based in-context learning?—0
Facetron: A Multi-speaker Face-to-Speech Model based on Cross-modal Latent Representations—0
Face-Dubbing++: Lip-Synchronous, Voice Preserving Translation of Videos—0
Can We Trust Explainable AI Methods on ASR? An Evaluation on Phoneme Recognition—0
Flexible Multichannel Speech Enhancement for Noise-Robust Frontend—0
Flexi-Transducer: Optimizing Latency, Accuracy and Compute forMulti-Domain On-Device Scenarios—0
FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning—0
Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models—0
FOOCTTS: Generating Arabic Speech with Acoustic Environment for Football Commentator—0
Extracting Domain Invariant Features by Unsupervised Learning for Robust Automatic Speech Recognition—0
Fotheidil: an Automatic Transcription System for the Irish Language—0
Four-in-One: A Joint Approach to Inverse Text Normalization, Punctuation, Capitalization, and Disfluency for Automatic Speech Recognition—0
Free English and Czech telephone speech corpus shared under the CC-BY-SA 3.0 license—0
Can We Train a Language Model Inside an End-to-End ASR Model? - Investigating Effective Implicit Language Modeling—0
Frequency Domain Multi-channel Acoustic Modeling for Distant Speech Recognition—0
Are Transformers in Pre-trained LM A Good ASR Encoder? An Empirical Study—0
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition—0
Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation Based Voice Conversion—0
From Senones to Chenones: Tied Context-Dependent Graphemes for Hybrid Speech Recognition—0
Accented Speech Recognition: A Survey—0
Extracting Biomedical Entities from Noisy Audio Transcripts—0
Can Visual Context Improve Automatic Speech Recognition for an Embodied Agent?—0
From Weak Labels to Strong Results: Utilizing 5,000 Hours of Noisy Classroom Transcripts with Minimal Accurate Data—0
FT Speech: Danish Parliament Speech Corpus—0
Full-text Error Correction for Chinese Speech Recognition with Large Language Model—0
Extending Recurrent Neural Aligner for Streaming End-to-End Speech Recognition in Mandarin—0
Fully Learnable Front-End for Multi-Channel Acoustic Modeling using Semi-Supervised Learning—0
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices—0
Extended Graph Temporal Classification for Multi-Speaker End-to-End ASR—0
Cantonese Automatic Speech Recognition Using Transfer Learning from Mandarin—0
Exploring WavLM Back-ends for Speech Spoofing and Deepfake Detection—0
Fusing ASR Outputs in Joint Training for Speech Emotion Recognition—0
Efficiently Fusing Pretrained Acoustic and Linguistic Encoders for Low-resource Speech Recognition—0
FusionFormer: Fusing Operations in Transformer for Efficient Streaming Speech Recognition—0
Fusion Models for Improved Visual Captioning—0
Exploring Transfer Learning For End-to-End Spoken Language Understanding—0
Gated Low-rank Adaptation for personalized Code-Switching Automatic Speech Recognition on the low-spec devices—0
Gated Recurrent Fusion with Joint Training Framework for Robust End-to-End Speech Recognition—0
G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR—0
A Wav2vec2-Based Experimental Study on Self-Supervised Learning Methods to Improve Child Speech Recognition—0
GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems—0
Exploring the Role of Audio in Video Captioning—0
Gender Representation in French Broadcast Corpora and Its Impact on ASR Performance—0
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation—0
Generating Human Readable Transcript for Automatic Speech Recognition with Pre-trained Language Model—0
Generating Robust Audio Adversarial Examples using Iterative Proportional Clipping—0
Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems—0
Generating Synthetic Clinical Speech Data through Simulated ASR Deletion Error—0
Are disentangled representations all you need to build speaker anonymization systems?—0
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