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Automatic Speech Recognition

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Showing 2401–2450 of 3174 papers

TitleStatusHype
OTF: Optimal Transport based Fusion of Supervised and Self-Supervised Learning Models for Automatic Speech Recognition—0
Overcoming Data Scarcity in Multi-Dialectal Arabic ASR via Whisper Fine-Tuning—0
Overcoming Domain Mismatch in Low Resource Sequence-to-Sequence ASR Models using Hybrid Generated Pseudotranscripts—0
Overcoming the bottleneck in traditional assessments of verbal memory: Modeling human ratings and classifying clinical group membership—0
OWSM-Biasing: Contextualizing Open Whisper-Style Speech Models for Automatic Speech Recognition with Dynamic Vocabulary—0
OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification—0
MAC: A unified framework boosting low resource automatic speech recognition—0
Parallel Corpora in Mboshi (Bantu C25, Congo-Brazzaville)—0
Parallel Corpus for Japanese Spoken-to-Written Style Conversion—0
Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR—0
Parameter-Efficient Transfer Learning under Federated Learning for Automatic Speech Recognition—0
ParlamentParla: A Speech Corpus of Catalan Parliamentary Sessions—0
ParlaSpeech-HR - a Freely Available ASR Dataset for Croatian Bootstrapped from the ParlaMint Corpus—0
PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition—0
PATCorrect: Non-autoregressive Phoneme-augmented Transformer for ASR Error Correction—0
PDAugment: Data Augmentation by Pitch and Duration Adjustments for Automatic Lyrics Transcription—0
Perception of Phonological Assimilation by Neural Speech Recognition Models—0
Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems—0
AeGAN: Time-Frequency Speech Denoising via Generative Adversarial Networks—0
Performance Analysis of Speech Encoders for Low-Resource SLU and ASR in Tunisian Dialect—0
Global Performance Disparities Between English-Language Accents in Automatic Speech Recognition—0
Performance Monitoring for End-to-End Speech Recognition—0
Performant ASR Models for Medical Entities in Accented Speech—0
The Recognition Of Persian Phonemes Using PPNet—0
persoDA: Personalized Data Augmentation for Personalized ASR—0
Personalization of CTC-based End-to-End Speech Recognition Using Pronunciation-Driven Subword Tokenization—0
Personalized Adversarial Data Augmentation for Dysarthric and Elderly Speech Recognition—0
Personalized Automatic Speech Recognition Trained on Small Disordered Speech Datasets—0
Personalized Keyphrase Detection using Speaker and Environment Information—0
Personalized Predictive ASR for Latency Reduction in Voice Assistants—0
Personalized Query Rewriting in Conversational AI Agents—0
Personalized Speech Recognition for Children with Test-Time Adaptation—0
DITTO: Data-efficient and Fair Targeted Subset Selection for ASR Accent Adaptation—0
PhaseFool: Phase-oriented Audio Adversarial Examples via Energy Dissipation—0
PhasePerturbation: Speech Data Augmentation via Phase Perturbation for Automatic Speech Recognition—0
Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models—0
Phoneme Recognition with Large Hierarchical Reservoirs—0
Phone Merging For Code-Switched Speech Recognition—0
Phoneme transcription of endangered languages: an evaluation of recent ASR architectures in the single speaker scenario—0
Phonemic and Graphemic Multilingual CTC Based Speech Recognition—0
Phonemic Representation and Transcription for Speech to Text Applications for Under-resourced Indigenous African Languages: The Case of Kiswahili—0
Phonemic Transcription of Low-Resource Languages: To What Extent can Preprocessing be Automated?—0
Phonetically Balanced Code-Mixed Speech Corpus for Hindi-English Automatic Speech Recognition—0
Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription—0
Phonetic-assisted Multi-Target Units Modeling for Improving Conformer-Transducer ASR system—0
Pitch-Aware RNN-T for Mandarin Chinese Mispronunciation Detection and Diagnosis—0
PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices—0
pMCT: Patched Multi-Condition Training for Robust Speech Recognition—0
PM-MMUT: Boosted Phone-Mask Data Augmentation using Multi-Modeling Unit Training for Phonetic-Reduction-Robust E2E Speech Recognition—0
Polyphonic pitch detection with convolutional recurrent neural networks—0
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