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Speech Quality Factors for Traditional and Neural-Based Low Bit Rate Vocoders
[article]
2020
arXiv
pre-print
This study compares the performances of different algorithms for coding speech at low bit rates. In addition to widely deployed traditional vocoders, a selection of recently developed generative-model-based coders at different bit rates are contrasted. Performance analysis of the coded speech is evaluated for different quality aspects: accuracy of pitch periods estimation, the word error rates for automatic speech recognition, and the influence of speaker gender and coding delays. A number of
arXiv:2003.11882v1
fatcat:ybvuiq7lk5hzlhptj7rbi6b26u