Mobile device based personalized equalizer for improving the hearing capability of human voices in particular for elderly persons are proposed. Through experiments, it is found that the proposed equalizer does work well for improving hearing capability by 2 to 55 % of voice Recognition success ratio. According to the investigation of the frequency component analysis and formant detections, most...

Setup of an emotion recognition or emotional speech recognition system is directly related to how emotion changes the speech features. In this research, the influence of emotion on the anger and happiness was evaluated and the results were compared with the neutral speech. So the pitch frequency and the first three formant frequencies were used. The experimental results showed that there are lo...

Vocal Tract Length Normalization (VLTN), usually implemented as a frequency warping procedure (e.g. bilinear transformation), has been used successfully to adapt the spectral characteristics to a target speaker in speech recognition. In this study we exploit the same concept of frequency warping but concentrate explicitly on mapping the first four formant frequencies of 5 long vowels from sourc...

Formant frequencies, represented by major peaks in the spectrum of speech signals, convey important information about speech. The authors propose a method for detecting the formants of voiced speech through ‘instantaneous frequency’ (IF) estimation using a recursive least square (RLS) algorithm. The accuracy of the technique is assessed by comparing it with conventional formant detection techni...

The intelligibility of. unprocessed and of low-pass filtered speech was compared to that of speech processed using three versions of an all-harmonic code consisting of many harmonic sinusoids, a largest harmonic code consisting of four harmonic sinusoids closest o the formants, and a formant code consisting of three sinusoids scaled from the formant frequencies. Fundamental frequency and forman...

Numerous attempts have been made to find low-dimensional, formant-related representations of speech signals that are suitable for automatic speech recognition. However, it is often not known how these features behave in comparison with true formants. The purpose of this study was to compare two sets of automatically extracted formant-like features, i.e., robust formants and HMM2 features, to ha...

Our study focuses on the development of a new feature driven speech-processing strategy for cochlear implant system. In each cycle of stimulation of the cochlea, an electrode, corresponding to second formant frequency was chosen among 14 basilar electrodes. On the base of voiced/unvoiced decision of the speech, an electrode corresponding to first formant frequency was selected for stimulation a...

Spectrograms carry all necessary information for reliable human and computer perception of speech. This paper discusses the importance of spectrogram features used by a recognition algorithm developed by Ali et al. as they relate to human perception. Features, including MNSS, burst frequency, formant transitions, voicing onset time, and voicing/unvoicing information are defined and their import...