Introduction: Essential vocal tremor (EVT) is vocal tremor occurring in an individual diagnosed with essential tremor and is an action induced tremor that occurs during speech production. It causes fewer communication attempts, difficulty initiating and maintaining phonation, effortful speaking avoidance of social events trouble sustaining relationship leading to impair quality of life for such...

Acoustic Shock describes a condition where sudden loud acoustic signals in communication equipment causes hearing damage and discomfort to the users. To combat this problem, a subband-based acoustic shock limiting (ASL) algorithm is proposed and implemented on an ultra low-power DSP system with an input-output latency of 6.5 msec. This algorithm processes the input signal in both the time and f...

In this paper we describe an automated, linguistic knowledgebased method for building acoustic models for a target language for which there is no native training data. The method assumes availability of well-trained acoustic models for a number of existing source languages. It employs statistically derived phonetic and phonological distance metrics, particularly a combined phonetic-phonological...

The recent discovery of the use of visual cues for mate choice by nocturnal acoustic species raises the important, and to date unaddressed, question of how these signals affect the outcome of mate choice predicted by female preference for male calls. In order to address this question, we presented female Hyla arborea tree frogs with a series of choices between combinations of acoustic and visua...

Termites are the most destructive pests and their attacks significantly impact the quality of wooden buildings. Due to their cryptic behavior, it is rarely apparent from visual observation that a termite infestation is active and that wood damage is occurring. Based on the phenomenon of acoustic signals generated by termites when attacking wood, we proposed a practical framework to detect termi...

In this paper, we propose an acoustic model training technique which is robust against outliers such as clipping, unexpected noise, poorly pronounced word segments, or mistranscriptions, which deteriorate the quality of the acoustic models and in turn decrease speech recognition performance. The outlier-robust acoustic model training technique is based on a maximum likelihood (ML) criterion and...

The SWITCHBOARD (SWB) corpus is one of the most important benchmarks for recognition tasks involving large vocabulary conversational speech (LVCSR). The high error rates on SWB are largely attributable to an acoustic model mismatch, the high frequency of poorly articulated monosyllabic words, and large variations in pronunciations. It is imperative to improve the quality of segmentations and tr...

This paper presents an initial bimodal acoustic-visual synthesis system able to generate concurrently the speech signal and a 3D animation of the speaker’s face. This is done by concatenating bimodal diphone units that consist of both acoustic and visual information. The latter is acquired using a stereovision technique. The proposed method addresses the problems of asynchrony and incoherence i...

In this paper, we compare speech recognition performance using broad phoneticallyand acoustically-motivated units as a pre-processor in designing a novel noise robust landmark detection and segmentation algorithm. We introduce a cluster evaluation method to measure acoustic unit cluster quality. On the noisy TIMIT task, we find that the acoustic and phonetic segmentation approaches offer signif...

background: the primary goal of antenatal testing is to identify fetuses at risk of intrauterine neurologic injury or death so that these adverse outcomes can be prevented. we want to assess nonstress test (nst) results and some parameters before and after vibro-acoustic stimulation and acupressure. we did a randomized controlled clinical trial in shahid-beheshti hospital in isfahan in 2011. ma...