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Found 6 papers, 1 papers with code
Expressive Machine Dubbing Through Phrase-level Cross-lingual Prosody Transfer
Speech generation for machine dubbing adds complexity to conventional Text-To-Speech solutions as the generated output is required to match the expressiveness, emotion and speaking rate of the source content.
Cross-lingual Prosody Transfer for Expressive Machine Dubbing
Prosody transfer is well-studied in the context of expressive speech synthesis.
NAS-Bench-ASR: Reproducible Neural Architecture Search for Speech Recognition
These datasets, however, focus predominantly on computer vision and NLP tasks and thus suffer from the problem of limited coverage of application domains.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Bunched LPCNet : Vocoder for Low-cost Neural Text-To-Speech Systems
LPCNet is an efficient vocoder that combines linear prediction and deep neural network modules to keep the computational complexity low.
Iterative Compression of End-to-End ASR Model using AutoML
Increasing demand for on-device Automatic Speech Recognition (ASR) systems has resulted in renewed interests in developing automatic model compression techniques.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning
Our results show that in the absence of retraining our RL-based search is an effective and practical method to compress a production-grade ASR system.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+6
