The neural substrates underlying auditory feedback control of speech were investigated using a combination of functional magnetic resonance imaging (fMRI) and computational modeling. Neural responses were measured while subjects spoke monosyllabic words under two conditions: (i) normal auditory feedback of their speech and (ii) auditory feedback in which the first formant frequency of their spe...

How can we provide feedback to second language (L2) learners about the goodness of their productions in an automatic way? In this paper, we introduce our attempts to provide effective feedback when we train native speakers of Japanese to produce English /r/ and /l/. First, we adopted spectrographic representation overlayed with formant frequencies as feedback. Second, we investigated the correl...

The intensity response of distributed-feedback (DFB) fiber laser to external acoustic excitation has been investigated. On that basis, an intensity modulated sensing system based on DFB fiber laser has been constructed. Acoustic pressure sensitivity of the intensity-type sensor at frequencies ranging from 800 Hz to 9 kHz has been obtained by experiments for the first time to the authors’ knowle...

This study reports the detenninationin real time of the frequenciesofthefirsttworesonancesofthe human vocal tract from measurementsof the acousticimpedancespectrumof the tract in parallel with the external field. The measurementswere made using a broad band, frequency-independent acoustic current source, a microphone and a spectrum analyserwhich displaysthe acoustic impedancespectrum. The displ...

In this paper, a new bidirectional neural network for better acoustic-articulatory inversion mapping is proposed. The model is motivated by the parallel structure of human brain, processing information by having forward-inverse connections. In other words, there would be a feedback from articulatory system to the acoustic signals emitted from that organ. Inspired by this mechanism, a new bidire...

This paper addresses the problem of actively control acoustic noise in ducts through the application of genetic algorithm. Conventional techniques, like adaptive or classical control, have convergence problems due to the acoustic feedback, propagation delay and secondary paths. The software was designed to work in a parallel DSP TMS320C44 architecture, managing real time interrupts and communic...

This paper summarizes the work done by the authors for the Zero Resource Speech Challenge organized in the technical program of Interspeech 2015. The goal of the challenge is to discover linguistic units directly from unlabeled speech data. The Multi-layered Acoustic Tokenizer (MAT) proposed in this work automatically discovers multiple sets of acoustic tokens from the given corpus. Each acoust...

Speech is the most adaptive communication adaptive by human as well as computer for interaction. The speech can be captured online or from distance input source devices. But these devices have the limitation to include some kind of impurities in the signal. One such problem commonly found in such speech signal is Acoustic feedback problem. It is considered as the sharp background instrumentatio...