![]() Moreover, converting audio signals into images in the most appropriate way is critical for a convolutional neural network, a deep learning model commonly used in image applications. While there is still no generally accepted feature set, the selection of handcrafted features is a challenging task. Many different acoustic features were used in the studies. In this study, regional accents of British English were recognized for both gender-independent and gender-dependent experiments using a convolutional neural network. However, the recognition of a language's regional accents is still a challenging problem. Numerous studies have been carried out using various languages to improve the performance of accent recognition systems. Accent recognition is a significant area of research, whose importance has increased in recent years. ![]()
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