4 accepted papers
State-of-the-art Text-To-Speech (TTS) models are capable of producing high-quality speech. The generated speech, however, is usually neutral in emotional expression, whereas very often one would want fine-grained emotional control of words or phonemes. Although still challenging, the first TTS model…
We propose using a dynamic time warping (DTW) difference-to-sum ratio to classify speech as either matching or diverging from a linguistic standard. This measure effectively recognises non-native Norwegian speakers’ mispronunciations in words and phonetic segments. The contributions of the approach…
This study analyzes signals recorded using a neck-surface accelerometer from subjects producing speech with different voice modes. The purpose is to explore if the recorded waveforms can capture the glottal vibratory patterns which can be related to the movement of the vocal folds and thus voice qua…
Glottal inverse filtering methods are designed to derive a glottal flow waveform from a speech signal. In this paper, we evaluate and compare such methods using a speech synthesizer that simulates voice production in a physiologically-based manner that includes complexities such as nonlinear source-…