We used the mel-cepstral distortion between the target speech and reconstructed speech as an index for conversion accuracy and found that, when the number of target speech samples for training is less than 100, the general performance of the model degrades. When we measured the elapsed time for each process, we observed that feature extraction accounts for 59.7% of voice conversion time, which implies that fixing inefficiencies in feature extraction should be prioritized. Give your brand a voice and improve customer experience and engagement by interacting with users in their native language. We also suggest methods to maximize the efficiency of voice conversion and determine the proper amount of target speech based on several experiments. IBM Watson Text to Speech is an API cloud service that enables you to convert written text into natural-sounding audio in a variety of languages and voices within an existing application or within Watson Assistant. Furthermore, the user does not need to offer parallel data for the target voice since the transcriptions of the source speech and target speech are the same. The output voice of Intu (source voice) is then converted into the target voice. All of the service's voices use neural voice technology. Each voice uses appropriate cadence and intonation for its dialect. For different languages, the service offers female voices, male voices, or both. I prefer the voice Allison(Dnn) in IBM Watson. The IBM Watson Text to Speech service supports a variety of languages, voices, and dialects. The Text to Speech service supports male and female voices in various spoken languages: The service offers expressive neural voices for English (Australian and United States). A user can train the voice conversion model by providing a minimum of approximately 100 speech samples in the preferred voice (target voice). They provide the best quality Text to Speech voices, with Neural Network. The method for voice customization is based on IBM Watson’s text-to-speech service and voice conversion model. We propose a voice customization service that allows a user to directly customize the voice of Intu. IBM has recently launched Project Intu, which extends the existing web-based cognitive service Watson with the Internet of Things to provide an intelligent personal assistant service.
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