acoustic models
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2021 ◽  
Vol 42 (10S) ◽  
pp. S2-S10
Author(s):  
Mario A. Svirsky ◽  
Nicole Hope Capach ◽  
Jonathan D. Neukam ◽  
Mahan Azadpour ◽  
Elad Sagi ◽  
...  

2021 ◽  
Vol 150 (4) ◽  
pp. A328-A328
Author(s):  
Michael C. Mortenson ◽  
Tracianne B. Neilsen ◽  
Mark K. Transtrum ◽  
David P. Knobles

Author(s):  
Feng Chen ◽  
Jian Yang ◽  
Lixuan Zhao

English as a second language is widely used in countries such as Malaysia and Indonesia, and it is common for English words to appear in Malay and Indonesian sentences. Malay and Indonesian have high homology and relatively few electronic language resources. We combine the corpus datasets of these two similar languages to design and implement a HMM–DNN-based cross-lingual speech synthesis system for Malay (including English words) and Indonesian (including English words). The methods used include: sharing synthesis units between Malay, Indonesian, and English, designing unified context attributes and question set in the process of acoustic model training, speaker-adaptive training with speech corpus of these three languages, and synthesizing speech using speaker-dependent Malay and Indonesian acoustic models. Experimental results show that the speech synthesis quality of the system is better than the traditional Hidden Markov model-based cross-lingual speech synthesis system.


2021 ◽  
Vol 376 (1836) ◽  
pp. 20200244
Author(s):  
Vincent M. Janik ◽  
Mirjam Knörnschild

Vocal production learning, the ability to modify the structure of vocalizations as a result of hearing those of others, has been studied extensively in birds but less attention has been given to its occurrence in mammals. We summarize the available evidence for vocal learning in mammals from the last 25 years, updating earlier reviews on the subject. The clearest evidence comes from cetaceans, pinnipeds, elephants and bats where species have been found to copy artificial or human language sounds, or match acoustic models of different sound types. Vocal convergence, in which parameter adjustments within one sound type result in similarities between individuals, occurs in a wider range of mammalian orders with additional evidence from primates, mole-rats, goats and mice. Currently, the underlying mechanisms for convergence are unclear with vocal production learning but also usage learning or matching physiological states being possible explanations. For experimental studies, we highlight the importance of quantitative comparisons of seemingly learned sounds with vocal repertoires before learning started or with species repertoires to confirm novelty. Further studies on the mammalian orders presented here as well as others are needed to explore learning skills and limitations in greater detail. This article is part of the theme issue ‘Vocal learning in animals and humans’.


2021 ◽  
Author(s):  
Jasha Droppo ◽  
Oguz Elibol
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