In this article we describe a user-driven adaptive method to control the sonic response of digital musical instruments using information extracted from the timbre of the human voice. The mapping between heterogeneous attributes of the input and output timbres is determined from data collected through machine-listening techniques and then processed by unsupervised machine-learning algorithms. This approach is based on a minimum-loss mapping that hides any synthesizer-specific parameters and that maps the vocal interaction directly to perceptual characteristics of the generated sound. The mapping adapts to the dynamics detected in the voice and maximizes the timbral space covered by the sound synthesizer. The strategies for mapping vocal control to perceptual timbral features and for automating the customization of vocal interfaces for different users and synthesizers, in general, are evaluated through a variety of qualitative and quantitative methods.

The computer music community has historically pushed the boundaries of technologies for music-making, using and developing cutting-edge computing, communication, and interfaces in a wide variety of creative practices to meet exacting standards of quality. Several separate systems and protocols have been developed to serve this community, such as Max/MSP and Pd for synthesis and teaching, JackTrip for networked audio, MIDI/OSC for communication, as well as Max/MSP and TouchOSC for interface design, to name a few. With the still-nascent Web Audio API standard and related technologies, we are now, more than ever, seeing an increase in these capabilities and their integration in a single ubiquitous platform: the Web browser. In this article, we examine the suitability of the Web browser as a computer music platform in critical aspects of audio synthesis, timing, I/O, and communication. We focus on the new Web Audio API and situate it in the context of associated technologies to understand how well they together can be expected to meet the musical, computational, and development needs of the computer music community. We identify timing and extensibility as two key areas that still need work in order to meet those needs.