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Automatic Speech Recognition

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Showing 1501–1550 of 3174 papers

TitleStatusHype
Improving Data Driven Inverse Text Normalization using Data Augmentation—0
Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation—0
Improving Domain-Specific ASR with LLM-Generated Contextual Descriptions—0
Improving Dysarthric Speech Intelligibility Using Cycle-consistent Adversarial Training—0
Improving EEG based Continuous Speech Recognition—0
Improving End-to-End Bangla Speech Recognition with Semi-supervised Training—0
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis—0
Improving Fairness and Robustness in End-to-End Speech Recognition through unsupervised clustering—0
Improving Fast-slow Encoder based Transducer with Streaming Deliberation—0
Improving Frame-level Classifier for Word Timings with Non-peaky CTC in End-to-End Automatic Speech Recognition—0
An Investigation on Applying Acoustic Feature Conversion to ASR of Adult and Child Speech—0
Improving Hybrid CTC/Attention End-to-end Speech Recognition with Pretrained Acoustic and Language Model—0
Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech—0
Improving Language Model Adaptation using Automatic Data Selection and Neural Network—0
Improving Language Model Integration for Neural Machine Translation—0
Improving Large-scale Deep Biasing with Phoneme Features and Text-only Data in Streaming Transducer—0
Improving low-resource ASR performance with untranscribed out-of-domain data—0
Improving Low Resource Code-switched ASR using Augmented Code-switched TTS—0
End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting—0
Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training—0
On joint training with interfaces for spoken language understanding—0
Bilingual Streaming ASR with Grapheme units and Auxiliary Monolingual Loss—0
End-to-End Spoken Grammatical Error Correction—0
Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model—0
End-to-End Speech Translation of Arabic to English Broadcast News—0
Improving Multilingual ASR in the Wild Using Simple N-best Re-ranking—0
Improving Multilingual Speech Models on ML-SUPERB 2.0: Fine-tuning with Data Augmentation and LID-Aware CTC—0
Improving Multimodal Speech Recognition by Data Augmentation and Speech Representations—0
Improving Named Entity Recognition in Spoken Dialog Systems by Context and Speech Pattern Modeling—0
Improving Named Entity Transcription with Contextual LLM-based Revision—0
Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation—0
Improving noise robust automatic speech recognition with single-channel time-domain enhancement network—0
Improving Noise Robustness of an End-to-End Neural Model for Automatic Speech Recognition—0
Improving noise robustness of automatic speech recognition via parallel data and teacher-student learning—0
Bilingual End-to-End ASR with Byte-Level Subwords—0
Improving Noisy Student Training on Non-target Domain Data for Automatic Speech Recognition—0
Improving non-autoregressive end-to-end speech recognition with pre-trained acoustic and language models—0
Improving Practical Aspects of End-to-End Multi-Talker Speech Recognition for Online and Offline Scenarios—0
An Investigation of Monotonic Transducers for Large-Scale Automatic Speech Recognition—0
Improving Punctuation Restoration for Speech Transcripts via External Data—0
Improving Rare Words Recognition through Homophone Extension and Unified Writing for Low-resource Cantonese Speech Recognition—0
Improving Readability for Automatic Speech Recognition Transcription—0
A Bayesian Network View on Acoustic Model-Based Techniques for Robust Speech Recognition—0
Improving RNN-T ASR Performance with Date-Time and Location Awareness—0
End-to-End Speech-to-Text Translation: A Survey—0
Contrastive Semi-supervised Learning for ASR—0
Improving RNN transducer with normalized jointer network—0
Improving Robustness of Neural Inverse Text Normalization via Data-Augmentation, Semi-Supervised Learning, and Post-Aligning Method—0
Improving Scheduled Sampling for Neural Transducer-based ASR—0
End-to-end Speech-to-Punctuated-Text Recognition—0
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