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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
Exploring RNN-Transducer for Chinese Speech Recognition—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
Exploring Pre-training with Alignments for RNN Transducer based End-to-End Speech Recognition—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
Bypass Temporal Classification: Weakly Supervised Automatic Speech Recognition with Imperfect Transcripts—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
Arabic Language WEKA-Based Dialect Classifier for Arabic Automatic Speech Recognition Transcripts—0
Exploring Methods for the Automatic Detection of Errors in Manual Transcription—0
Exploring Machine Speech Chain for Domain Adaptation and Few-Shot Speaker Adaptation—0
BUT System for the MLC-SLM Challenge—0
Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training—0
Improving Medical Speech-to-Text Accuracy with Vision-Language Pre-training Model—0
BUT Opensat 2019 Speech Recognition System—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
Adversarial Joint Training with Self-Attention Mechanism for Robust End-to-End Speech Recognition—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
Exploring Gender Disparities in Automatic Speech Recognition Technology—0
Improving Punctuation Restoration for Speech Transcripts via External Data—0
Exploring Effective Distillation of Self-Supervised Speech Models for Automatic Speech Recognition—0
Improving Readability for Automatic Speech Recognition Transcription—0
Building state-of-the-art distant speech recognition using the CHiME-4 challenge with a setup of speech enhancement baseline—0
Improving RNN-T ASR Performance with Date-Time and Location Awareness—0
Exploring data augmentation in bias mitigation against non-native-accented speech—0
Exploring CTC Based End-to-End Techniques for Myanmar Speech Recognition—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
Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis—0
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