Discrimination between Singing and Speaking Voices Using Local and Global Characteristics

Discrimination between Singing

Discriminating between singing and speaking voices by using the local and global characteristics of voice signals is discussed. From the results of subjective experiments, we show that human beings can discriminate singing and speaking voices with more than 70% and 95% accuracy from 300 ms and one second long signals, respectively. From the subjective experiment results, assuming that different...

On Human Capability and Acoustic Cues for Discriminating Singing and Speaking Voices

In this paper, acoustic cues and human capability for discriminating singing and speaking voices are discussed to develop an automatic discrimination system for singing and speaking voices. Based on the results of preliminary subjective experiments, listeners discriminate between singing and speaking voices with 70.0% accuracy for 200-ms signals and 99.7% for one-second signals. Since even shor...

Discrimination between singing and speaking voices

Development of the F0 Control Model for Singing-Voices Synthesis

Fundamental frequency (F0) control models for singing voices are required to construct singing-voice synthesis systems that can generate natural singing-voices. This paper describes the development of an F0 control model for singing-voices synthesis. F0 fluctuations are revealed as characteristics that need to control the F0 contour of singing-voices by investigating how much they influence sin...

Speakbysinging: Converting Singing Voices to Speaking Voices While Retaining Voice Timbre

This paper describes a singing-to-speaking synthesis system called “SpeakBySinging” that can synthesize a speaking voice from an input singing voice and the song lyrics. The system controls three acoustic features that determine the difference between speaking and singing voices: the fundamental frequency (F0), phoneme duration, and power (volume). By changing these features of a singing voice,...