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Mak, M.-W. and Yu, H.-B. (2014) A Study of Voice Activity Detection Techniques for NIST Speaker Recognition Evaluations. Computer Speech & Language, 28, 295-313.

has been cited by the following article:

  • TITLE: Adaptive Pitch Transposition: Smart Auditory Spectral Shifts in Cochlear Implants

    AUTHORS: Kevin Struwe, Ralf Salomon

    KEYWORDS: Cochlear Implants, Pitch Transposition, Speech Processing

    JOURNAL NAME: Engineering, Vol.9 No.9, September 19, 2017

    ABSTRACT: Patients with severe hearing loss have the option to get a cochlear implant device to regain their hearing. Yet, the implantation process is not always optimal, which in some cases results in a shallow insertion depth or an accidental insertion into the wrong cochlear duct. As a consequence, the patients' pitch discrimination ability is suboptimal, leading to an even more decreased vowel identification, which is vital for speech recognition. This paper presents a technical approach to solve this problem: the adaptive pitch transposition module modifies the frequency content in a fashion so that the pitch is fixed to an optimal value. To determine this value, a patient-individual best pitch is determined experimentally by evaluating speech recognition at different pitches. This best pitch is subsequently called the comfort pitch. As a result of the considerations a technical implementation is presented in principle. A system comprised of pitch detection, pitch transposition and an arbitrary chosen comfort pitch is described in depth. It has been implemented prototypically in Matlab/Octave and tested with an example audio file. The systemitself is designed as a preprocessing stage preceding cochlear implant processing.