In this paper, we propose to use speech modulation features for robust nonnative accent detection. Modulation spectrum carries long term temporal information of speech and may discriminate accents of native and nonnative speakers. For each speech segment to be tested, we extract a 10 dimension feature vector from modulation spectrum and use it for model training and testing. The proposed modula...

When implementing an existing or designing a brand new pitch detection algorithm (PDA) there is a need to evaluate it and maybe compare it to another one. We could make some comparisons or rough estimates based on graphical output, but this approach is ineffective and definitely inconvenient for larger file-bases. In this paper design and implementation of PDA speech-oriented evaluation framewo...

e) after 350ms wait you should produce back-channel feedback. Our model for English is the same except for some parameters: pitch level (clause a) 26th-percentile, recovery time (clause d) 800ms, and delay (clause e) 700ms. 1 I n t r o d u c t i o n Back-channel feedback, also called "listener responses'~ is, to a first approximation, those responses produced by one participant which do not int...

Back-channel feedback, responses such as uh-uh from a listener, is a pervasive feature of conversation. It has long been thought that the production of back-channel feedback depends to a large extent on the actions of the other conversation partner, not just on the volition of the one who produces them. In particular, prosodic cues from the speaker have long been thought to play a role, but hav...

Human listeners are better able to identify two simultaneous vowels if the fundamental frequencies of the vowels are different. A computational model is presented which, for the first time, is able to simulate this phenomenon at least qualitatively. The first stage of the model is based upon a bank of bandpass filters and inner hair-cell simulators that simulate approximately the most relevant ...

A computationally efficient model for multipitch and periodicity analysis of complex audio signals is presented. The model essentially divides the signal into two channels, below and above 1000 Hz, computes a “generalized” autocorrelation of the low-channel signal and of the envelope of the high-channel signal, and sums the autocorrelation functions. The summary autocorrelation function (SACF) ...

In this paper we address the two speaker segregation problem in a single channel paradigm using sinusoidal residual modeling. An appropriate selection of the number of sine waves, window length and hysteresis threshold, is done so as to model and synthesize the underlying signal corresponding to the speaker with the lower pitch period, using an amplitude only sine wave synthesis. The sinusoidal...

Because of fluctuation in leg tension, pitch motion is very effective fatigue and life safety of leg elements in tension leg structures (TLSs). In this paper an exact solution for pitch vibration of a TLS interacting with ocean wave is presented. The legs of TLP are considered as elastic springs. The flow is assumed to be irrotational and single-valued velocity potentials are defined. The effec...

Most multi-pitch algorithms are tested for performance only in voiced regions of speech, and are prone to yield pitch estimates even when the participating speakers are unvoiced. This paper presents a multi-pitch algorithm that detects the voiced and unvoiced regions in a mixture of two speakers, identifies the number of speakers in voiced regions, and yields the pitch estimates of each speaker...