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Automatic Speech Recognition

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Showing 2351–2375 of 3174 papers

TitleStatusHype
On Building Spoken Language Understanding Systems for Low Resourced Languages—0
On Comparison of Encoders for Attention based End to End Speech Recognition in Standalone and Rescoring Mode—0
On Construction of the ASR-oriented Indian English Pronunciation Dictionary—0
On-Device detection of sentence completion for voice assistants with low-memory footprint—0
On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech—0
On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer—0
One model to enhance them all: array geometry agnostic multi-channel personalized speech enhancement—0
One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition—0
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers—0
One-To-Many Multilingual End-to-end Speech Translation—0
On Knowledge Distillation for Direct Speech Translation—0
On Knowledge Distillation for Translating Erroneous Speech Transcriptions—0
On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models—0
Online Automatic Speech Recognition with Listen, Attend and Spell Model—0
Online Continual Learning of End-to-End Speech Recognition Models—0
Online Hybrid CTC/Attention End-to-End Automatic Speech Recognition Architecture—0
On Modular Training of Neural Acoustics-to-Word Model for LVCSR—0
On Neural Phone Recognition of Mixed-Source ECoG Signals—0
On Prosody Modeling for ASR+TTS based Voice Conversion—0
On Sampling-Based Training Criteria for Neural Language Modeling—0
On Speech Pre-emphasis as a Simple and Inexpensive Method to Boost Speech Enhancement—0
On Spoken Language Understanding Systems for Low Resourced Languages—0
On the Derivational Entropy of Left-to-Right Probabilistic Finite-State Automata and Hidden Markov Models—0
On the Effectiveness of ASR Representations in Real-world Noisy Speech Emotion Recognition—0
On the Effectiveness of Neural Text Generation based Data Augmentation for Recognition of Morphologically Rich Speech—0
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