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Evaluating degradation in emotional speech quality over a 4G telephone network
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Evaluating degradation in emotional speech quality over a 4G telephone network
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Journal Article
Evaluating degradation in emotional speech quality over a 4G telephone network
2024
Overview
The present study focuses on the evaluation of the degradation of emotional expression in speech generated by a wireless telephone network. Two assessment approaches emerged: an objective one, deploying convolutional neural networks (CNNs) fed with spectrograms across three scales (Linear, Logarithmic, Mel), and a subjective method grounded in human perception. The study gathered expressive phrases in two different languages: from novice Arabic and proficient German speakers. These utterances underwent transmission on a real 4G network a rarity, as usual focus lies on bandwidth (BW) reduction or compression. Our innovation lies in utilizing the complete 4G infrastructure, accounting for all possible impairments. The results obtained indeed reveal a significant impact of transmission via the real 4G network on emotion recognition. Prior to transmission, the highest recognition rates, measured by the objective method using the Mel frequency scale, were 76% for Arabic and 91% for German. After transmission, these rates significantly decreased, reaching 70% for Arabic and 82% for German (a degradation of 6% and 9%), respectively. As for the subjective method, the recognition rates were 75% for Arabic and 70% for German before transmission and dropped to 67% for Arabic and 68% for German after transmission (a degradation of 8% and 2%). Our results were also compared to those found in the literature that used the same database.
Publisher
Springer US,Springer Nature B.V
