Speech improvement technologies
Change the pitch and tone while maintaining the intelligibility and naturalness of sound:
The development and use of original management models prosody to impart the desired color the sound of voices. Change the pitch and tone while maintaining the intelligibility and naturalness of sound.
The software that ensures multi-user operation mode, quick enabling/disabling voice processing modes, combining the modes depending on the employee's tasks and preferences, and access to easily adjustable settings.
Change the pitch and tone while maintaining the intelligibility and naturalness of sound:
The technology of speech deep transformation that adjusts operator’s voice for better comprehension by the remote user. We have analyzed the over 20 years' scientific research on this subject, and we performed our own additional research in order to determine what kind of voice people consider convincing, confident and serious. These psychological criteria of the voice affect the success of business communication. Our research and the research of other groups suggest that a person with the medium voice pitch frequency is considered a more credible interlocutor. Deep voice modification with preservation of complete naturalness - no "robotic" voice.
Using this innovation, the customer will hear operator's voice better, and will understand his/her speech. Now the customer won't have to repeat his questions many times and to strain his/her ears so much. Low sounds of the speech will become louder, while the volume of loud sounds will stay the same.
Our technology helps users to hear in a noisy environment, without increasing the volume. Unlike a simple denoiser, which removes the noise from the telephone line, this technology allows the user to hear through the ambient noises. The technology protects users' hearing, as it amplifies selectively only those components of the signal that are masked by the noise, which makes it possible to hear well with the volume only slightly increased.
The technology based on decreasing mask effect by frequency-dependent amplification of a useful signal. Simultaneously the algorithm takes into consideration individual hearing thresholds, frequency characteristics of a certain device, and incoming sound level.
Advanced technologies in the field of mobile application development
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