In this paper, we apply the noise adaptive speech recognition for noisy speech recognition in non-stationary noise to the situation that acoustic models are trained from noisy speech. We justify it by that the noise adaptive speech recognition includes iterative processes between a noise parameter estimation step and a model adaptation step, which can possibly do non-linear mapping between the ...

This study was carried out to improve the quality of acted emotional speech. In the recent paradigm shift in speech collection techniques, methods for the collection of high-quality and spontaneous speech has been strongly focused on. However, such methods involve various constraints: such as the difficulty in controlling utterances and sound quality. Hence, our study daringly focuses on acted ...

Analysis of non stationary signals like audio, speech and biomedical signals require good resolution both in time and frequency as their spectral components are not fixed. There are many applications of time-frequency analysis in non stationary signals like source separation, signal denoising etc. This paper presents an application of time frequency analysis using STFT, Short Time Fourier Trans...

Voice and speech therapy can be performed in various ways depending on the situation, although it is generally a face-to-face manner. Telepractice refers to provision of specialized voice by speech-language pathologists for assessment, therapy, counseling applying telecommunication technology from remote location. Recently, due pandemic situation active use non-face-to-face platforms, interest ...

Normal-hearing observers typically have some ability to "lipread," or understand visual-only speech without an accompanying auditory signal. However, talkers vary in how easy they are to lipread. Such variability could arise from differences in the visual information available in talkers' speech, human perceptual strategies that are better suited to some talkers than others, or some combination...

Speech is a complex acoustic signal showing a quasiperiodic structure at several timescales. Integrated neural signals recorded in the cortex also show periodicity at different timescales. In this chapter we outline the neural mechanisms that potentially allow the auditory cortex to segment and encode continuous speech. This chapter focuses on how the human auditory cortex uses the temporal str...

Spoken and written languages, despite their different nature and function in human society, have often been in conflicts rather than in harmony for centuries. Despite the incessant efforts made by phoneticians, linguists, speech therapists and more recently speech technologists to describe the interrelations and relative merits of written and spoken languages, the written language still enjoys ...

Recently, usable speech criteria [1] are proposed to extract minimally corrupted speech for speaker identification (SID) in co-channel speech. In this paper, we propose a new usable speech extraction method to improve the SID performance under the co-channel situation based on the pitch information obtained from a robust multi-pitch tracking algorithm [2]. The idea is to retain the speech segme...

A new parameter for estimating the difficulty of a continuous speech recognition task, called speech decoding difficulty, is presented in this work. It is obtained from the language model defined for the recognition task and the phonetic similarity between the transcriptions of the words that make up the vocabulary used. Two variants of the proposed task difficulty measure are introduced: ideal...

This study&rsquos goal is determining the accurate relationship of central bank with its environment through recognizing the conditions of this bank in four aspects of autogeny(internal authority), heterogeny (interaction), discretion(influence in environment) and detachment (organization self usage of it's resources) . This study is discovery and survey in terms of method. Collecting data tool...