Parameter-Specific Morphing Reveals Contributions of Timbre and Fundamental Frequency Cues to the Perception of Voice Gender and Age in Cochlear Implant Users

Purpose Using naturalistic synthesized speech, we determined the relative importance of acoustic cues in voice gender and age perception in cochlear implant (CI) users. Method We investigated 28 CI users' abilities to utilize fundamental frequency (F0) and timbre in perceiving voice gender (Experiment 1) and vocal age (Experiment 2). Parameter-specific voice morphing was used to selectively control acoustic cues (F0; time; timbre, i.e., formant frequencies, spectral-level information, and aperiodicity, as defined in TANDEM-STRAIGHT) in voice stimuli. Individual differences in CI users' performance were quantified via deviations from the mean performance of 19 normal-hearing (NH) listeners. Results CI users' gender perception seemed exclusively based on F0, whereas NH listeners efficiently used timbre. For age perception, timbre was more informative than F0 for both groups, with minor contributions of temporal cues. While a few CI users performed comparable to NH listeners overall, others were at chance. Separate analyses confirmed that even high-performing CI users classified gender almost exclusively based on F0. While high performers could discriminate age in male and female voices, low performers were close to chance overall but used F0 as a misleading cue to age (classifying female voices as young and male voices as old). Satisfaction with CI generally correlated with performance in age perception. Conclusions We confirmed that CI users' gender classification is mainly based on F0. However, high performers could make reasonable usage of timbre cues in age perception. Overall, parameter-specific morphing can serve to objectively assess individual profiles of CI users' abilities to perceive nonverbal social-communicative vocal signals.

Expectancy changes the self-monitoring of voice identity

ABSTRACTSelf-voice attribution can become difficult when voice characteristics are ambiguous, and functional magnetic resonance imagines (fMRI) investigations of such ambiguity are sparse. We utilized voice-morphing (self-other) to manipulate (un-)certainty in self-voice attribution in a button-press paradigm. This allowed investigating how levels of self-voice certainty alter brain activation in regions monitoring voice identity areas and unexpected changes in voice playback quality. FMRI results confirm a self-voice suppression effect in the right anterior superior temporal gyrus (aSTG) when self-voice attribution was unambiguous. Although the right inferior frontal gyrus (IFG) was more active during self-generated voice compared to when passively-heard, the putative role of this region in detecting unexpected self-voice changes was not confirmed. Further research on the link between right aSTG and IFG is required and may establish a threshold monitoring voice identity in action. The current results have implications for a better understanding of an altered experience of self-voice feedback leading to auditory verbal hallucinations.

Using a Complex Technology in a Language Course

In this chapter, how the complex technology of Second Life affects participation in an English course is investigated. With the aim of exploring gender issues, the special affordance of Second Life, i.e. voice-morphing together with sound-isolated parcels, was used. The data set consists of about 33 hours of audio recordings and chat logs of 8,315 words. The results show that in audio10.8% of the course time deals with technological challenges, while in chat 69.2% of the words contribute to technology. Three challenges interfering with participation were identified: software complexity, unreliable functionality of Second Life, and hardware and connectivity issues. To deal with these problems, pedagogical facilitators, technological facilitators, and Second Life -experienced peers made a significant contribution. Based on the results, this chapter analyzes whether Second Life can be widely used in language education, how affordances of it can be learned and taught, and scenarios where Second Life can and cannot be used.

Generation of Telugu Emotional Speech from Neutral Speech by using Voice Morphing Algorithm

Voice morphing is the conversion of one voice signal into another voice signal i.e. source voice signal into target voice signal. Like image morphing, the aim of speech morphing is to preserve the pooled properties of the source signal and target signal during the generation of a smooth conversion between them. The major properties of speech signal are its pitch and envelope information. Pitch, duration and intensity of speech signal parameters are considered to get emotional voice from neutral or emotion. We are using TD-PSOLA technique to extract the prosodic parameters and during the training phase.

Voice Morphing

Voice morphing is a framework to generate a new sound which has the mixed attribute of given voice examples. It provides a flexible tool for investigating perceptual attributes in voice communication, especially for quantifying paralinguistic and extralinguistic cues. Recent advances in parametric representation of speech sounds have made the morphing-based approach a practical alternative or complementary strategy to procedures using speech-production models. Stimulus continuum spanning between two typical voice recordings having different perceptual attributes provides an external reference to quantify subjective responses. Generalized morphing, which enables extrapolation as well as interpolation of arbitrarily many numbers of voices, provides a unique strategy for investigating speaker identity. Its ability to selectively manipulate any combination of fundamental parameters facilitates the development of technology to intervene and mediate paralinguistic and extralinguistic communication channels.