| 1 |
Analysis of French Phonetic Idiosyncrasies for Accent Recognition ...
|
|
|
|
Abstract:
Speech recognition systems have made tremendous progress since the last few decades. They have developed significantly in identifying the speech of the speaker. However, there is a scope of improvement in speech recognition systems in identifying the nuances and accents of a speaker. It is known that any specific natural language may possess at least one accent. Despite the identical word phonemic composition, if it is pronounced in different accents, we will have sound waves, which are different from each other. Differences in pronunciation, in accent and intonation of speech in general, create one of the most common problems of speech recognition. If there are a lot of accents in language we should create the acoustic model for each separately. We carry out a systematic analysis of the problem in the accurate classification of accents. We use traditional machine learning techniques and convolutional neural networks, and show that the classical techniques are not sufficiently efficient to solve this ... : Accepted in Soft Computing Letters, 2021 ...
|
|
Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
|
|
URL: https://arxiv.org/abs/2110.09179
https://dx.doi.org/10.48550/arxiv.2110.09179
|
|
BASE
|
|
Hide details
|
|
|
| 2 |
TEST: A terminology extraction system for technology related terms
|
|
|
|
In: Conference papers (2019)
|
|
BASE
|
|
Show details
|
|
|
|
|
