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Voice conversion techniques enable the transformation of a source speaker's voice to that of a target speaker's automatically. The performance of any voice conversion algorithm depends on the source-target pair chosen. This study focuses on the problem of source speaker (donor) selection from a set of available speakers that will result in the best quality output for a specific target speaker's voice...
This study focuses on the development of software tools integrated with speech processing technology for speech pathologists and for patients with speech/language disorders and voice quality problems. An integrated interface called CATSEAR is under development for database collection, data analysis, therapy design, and patient monitoring. Automatic assessment techniques using pattern recognition algorithms...
This paper presents a Turkish large vocabulary continuous speech recognition (LVCSR) system that automatically transcribes the agent-customer conversations of call centers. The aim is to increase the recognition performance of the system in order to retrieve correct statistics from the call center conversations. For this reason, a confidence metric which is calculated from the outputs of two decoders...
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