For synthesizing voice quality expressed by adjectives, this paper investigates acoustical correlates to adjective ratings of speaker characteristics for reading and conversational speech. The results revealed: (1) The speaking styles have little effect on the rates on adjective scales. (2) The effects of formant frequencies and long-term spectrum to adjective ratings are almost independent of ...

Nowadays people are faced daily with the management of all types of technological devices that have embedded processors inside. The desire of users and the industry is to achieve a natural interaction with these devices. Researchers have spent many years working in spoken dialog systems which are now used in many applications. In these systems it is crucial to achieve correct speech recognition...

This present paper aims to answer the question whether forced-alignment speech recognition can be used as an alternative to humans in generating reference Voice Activity Detection (VAD) transcriptions. An investigation of the level of agreement between automatic/manual VAD transcriptions and the reference ones produced by a human expert was carried out. Thereafter, statistical analysis was empl...

This study aims to investigate the semantic and syntactic features of verbs used in the introduction section of Applied Linguistics research articles published in Iranian and international journals. A corpus of 20 research article introductions (10 from each journal) was used. The corpus was analysed for the syntactic features (tense, aspect and voice) and semantic meaning of verbs. The finding...

This paper presents novel voice activity detection (VAD) approach based on incremental subspace learning using harmonicity-based features. Harmonic structure is well known as noise robust speech feature. We develop novel harmonicitybased feature based on temporal-spectral co-occurrence patterns. At statistical decision stage, many conventional statistical VAD methods rely on Gaussian model; how...

In this study, the problem of voice activity detection (VAD) is formulated in a Bayesian hypothesis testing framework. Unlike traditional VAD schemes that employ a single statistical model, multiple models are assumed to be potentially engaged with a priori probabilities, due to the statical diversity of the environmental noise degrading the speech. Moreover, the optimal a priori probabilities ...

This study aims to investigate the semantic and syntactic features of verbs used in the introduction section of Applied Linguistics research articles published in Iranian and international journals. A corpus of 20 research article introductions (10 from each journal) was used. The corpus was analysed for the syntactic features (tense, aspect and voice) and semantic meaning of verbs. The finding...

Crosstalk in a stereo recording occurs when the speech from one participant is leaked into the close-talking microphones of the other participants. This crosstalk causes degradation of the voice activity detection (VAD) performance on individual channels, in spite of the strength of the crosstalk signal being lower than that of the participant’s speech. To address this problem, we first detect ...

This study aimed to evaluate the effects of auditory-verbal rehabilitation on voice parameters after implantation with cochlear implants 2 and 5 months after rehabilitation and compare them with normal voice children (under 12 years of age). A perceptive and electroacoustic evaluation of voice was carried out through a digital analysis after implantation and rehabilitation. The study was pe...