Interactive Real-time Concatenative Synthesis in Virtual Reality

This paper presents a new platform for interactive concatenative synthesis designed for virtual reality and proposes further applications for immersive audio tools and instruments. TimbreSpace VR is an extension of William Brent’s TimbreSpace software using the timbreID library for Pure Data. Design and implementation of the application are discussed, as well as its live performance aspects. Finally, future work is laid out for the project, proposing versatile audio manipulation software specifically for XR platforms.

Rhythmic Concatenative Synthesis for Electronic Music: Techniques, Implementation, and Evaluation

In this article, we summarize recent research examining concatenative synthesis and its application and relevance in the composition and production of styles of electronic dance music. We introduce the conceptual underpinnings of concatenative synthesis and describe key works and systematic approaches in the literature. Our system, RhythmCAT, is proposed as a user-friendly system for generating rhythmic loops that model the timbre and rhythm of an initial target loop. The architecture of the system is explained, and an extensive evaluation of the system's performance and user response is discussed based on our results.

A Flexible Architecture for Urdu Phonemes-Based Concatenative Speech Synthesis

TTS (Text-to-Speech) synthesis systems are extensively used across the world to intensify the accessibility of information and to make it possible for the handicapped to be involved directly with computers to get the benefits from this high technology revolution. Various TTS synthesis techniques have been used with their own advantages and limitations. There is not a concatenative synthesis strategy based architecture for Urdu TTS synthesis system for handling the homographs and to avoid the unnatural robot sounding speech produced due the use of di-phones. In this paper, we propose a flexible architecture for Urdu TTS synthesis system that uses concatenative synthesis strategy because this approach has the ability to join together the small corpus of speech to generate natural and intelligible sound. The main aspiration of this research is to disambiguate the homographs in the Urdu language and to avoid the unnatural robot sounding speech. Finally, the effectiveness of the system is tested in terms of intelligibility and acceptability on word and sentence level. The intelligibility rate is near to 80% and 65% while acceptability rate for the naturalness is 95% (75% natural, 20% acceptable).