Automatic detection technique for voice quality inter-disciplinary methodologies

Quality criteria for inter- and trans-disciplinary doctoral research outcomes

Automatic detection of voice creak

The analysis of large spontaneous speech corpora reveals that creaky mode appears more frequently than expected, especially for young female speakers. Creaky mode usually creates fundamental frequency measurement errors and creaky voice segments must be often identified manually beforehand to avoid erroneous reading of F0 in large speech databases. Various approaches have been proposed to ident...

Voice disguise and automatic detection

This study focuses on the question of voice disguise and the problem of its detection. The voice disguise is considered as a deliberated action of the speaker who wants to falsify or to conceal his identity. Lots of possibilities are offered to a speaker to change his voice and to false a human ear or an automatic system. He could transform his voice by electronic scrambling or more simply by e...

An Inter-disciplinary Language for Inter-disciplinary Communication: Academic Globalization, Ethos, Pathos, and Logos

Inspired by the intersection of character, emotions, and logic, much like a Hungarian Rhapsody which is beautifully sad; this paper explores ethos, pathos, and logos in the context of Academic Globalization. As students of the world, an inter-disciplinary language is pivotal for inter-disciplinary communication. Given that the current state of the world stems primarily from miscommunications, i...

Michigan Student Symposium for Inter - disciplinary Statistical

The problem of active diagnosis arises in several applications such as medical diagnosis, fault diagnosis in nuclear plants, power-delivery systems, communication networks, and computer networks. In these problems, the goal is to rapidly identify the binary states of a set of objects (e.g., faulty/working states of components) by sequentially selecting, and observing, (noisy) responses to binar...