The Glottal Source is an important component of voice as it can be considered as the excitation signal to the voice apparatus. The use of the Glottal Source for pathology detection or the biometric characterization of the speaker are important objectives in the acoustic study of the voice nowadays. Through the present work a biometric signature based on the speaker’s power spectral density of t...

A waveform adaptive physical model of the glottal source is proposed. The model relies on a lumped mechano aerodynamic schema loosely inspired to the oneand two-mass lumped models. The vocal folds are represented by a single mechanical resonator and a propagation line which takes into account the vertical phase differences. The vocal folds displacement is coupled to the glottal flow by means of...

This study examines whether English L1 and Japanese L2 listeners differ in the way they perceive the glottal stop as a signal to a phonological contrast in English. Glottal stops are often used by native English speakers as an allophone of /t/, including intervocalic environments, while this variation is not found in Japanese. Thus, the different L1 experience of the listeners may cause differe...

This paper presents an algorithm to segment speech according to glottal open and closed phases using the time waveform alone. Based on this, pitch, jitter and closed to open glottal ratios can be computed. Segmentation is achieved by identifying spectral changepoints at the subpitch period timescale. Changepoints are identi ed using a 3-state autoregressive hidden Markov model (AR-HMM) operatin...

We present a simple but e ective approach to pitch modi cation of speech based on a harmonic model. Building on our time-scaling algorithm [1], pitch modi cation applies to a harmonically coded glottal wave estimate derived via a simple inverse ltering technique [3]. The modi ed glottal wave subsequently serves as input to an LPC vocal tract lter and the pitch-scaled speech is generated. Shape ...

Current research has proposed a non-parametric speech waveform representation (rep) based on zeros of the z-transform (ZZT) [1] [2]. Empirically, the ZZT rep has successfully been applied in discriminating the glottal and vocal tract components in pitch-synchronously windowed speech by using the unit circle (UC) as discriminant [1] [2]. Further, similarity between ZZT reps of windowed speech, g...

This work studies the use of deep learning methods to directly model glottal excitation waveforms from context dependent text features in a text-to-speech synthesis system. Glottal vocoding is integrated into a deep neural network-based text-to-speech framework where text and acoustic features can be flexibly used as both network inputs or outputs. Long short-term memory recurrent neural networ...

This paper describes the GlottHMM speech synthesis entry for Blizzard Challenge 2010. GlottHMM is a hidden Markov model (HMM) based speech synthesis system that utilizes glottal inverse filtering for separating the vocal tract from the glottal source. The source and the filter characteristics are modeled separately in the framework of HMM. In the synthesis stage, natural glottal flow pulses are...

This paper concerns the application of glottal models and closed-phase analysis to the problem of speaker recognition. A glottal model based on one originally proposed by Fujisaki and Ljungqvist was used in conjunction with closed-phase analysis to yield features for a speaker recognition system used in the NIST 2003 Speaker Recognition Evaluation. Scores from the system based on the glottal mo...

This paper describes a robust glottal source estimation method based on a joint source-filter separation technique. In this method, the glottal flow derivative is modelled as the Liljencrants-Fant (LF) model and the vocal tract is described as a time-varying ARX model. Since the joint estimation problem is a multi-parameter nonlinear optimization procedure, we separate the optimization procedur...