An overview of voice conversion systems
SH Mohammadi, A Kain - Speech Communication, 2017 - Elsevier
Voice transformation (VT) aims to change one or more aspects of a speech signal while
preserving linguistic information. A subset of VT, Voice conversion (VC) specifically aims to …
preserving linguistic information. A subset of VT, Voice conversion (VC) specifically aims to …
World: a vocoder-based high-quality speech synthesis system for real-time applications
A vocoder-based speech synthesis system, named WORLD, was developed in an effort to
improve the sound quality of real-time applications using speech. Speech analysis …
improve the sound quality of real-time applications using speech. Speech analysis …
[HTML][HTML] D4C, a band-aperiodicity estimator for high-quality speech synthesis
M Morise - Speech Communication, 2016 - Elsevier
An algorithm is proposed for estimating the band aperiodicity of speech signals, where
“aperiodicity” is defined as the power ratio between the speech signal and the aperiodic …
“aperiodicity” is defined as the power ratio between the speech signal and the aperiodic …
[PDF][PDF] Harvest: A High-Performance Fundamental Frequency Estimator from Speech Signals.
M Morise - INTERSPEECH, 2017 - isca-archive.org
A fundamental frequency (F0) estimator named Harvest is described. The unique points of
Harvest are that it can obtain a reliable F0 contour and reduce the error that the voiced …
Harvest are that it can obtain a reliable F0 contour and reduce the error that the voiced …
Evaluating voice conversion-based privacy protection against informed attackers
BML Srivastava, N Vauquier… - ICASSP 2020-2020 …, 2020 - ieeexplore.ieee.org
Speech data conveys sensitive speaker attributes like identity or accent. With a small
amount of found data, such attributes can be inferred and exploited for malicious purposes …
amount of found data, such attributes can be inferred and exploited for malicious purposes …
Investigating different representations for modeling and controlling multiple emotions in DNN-based speech synthesis
J Lorenzo-Trueba, GE Henter, S Takaki… - Speech …, 2018 - Elsevier
In this paper, we investigate the simultaneous modeling of multiple emotions in DNN-based
expressive speech synthesis, and how to represent the emotional labels, such as emotional …
expressive speech synthesis, and how to represent the emotional labels, such as emotional …
mmphone: Acoustic eavesdropping on loudspeakers via mmwave-characterized piezoelectric effect
More and more people turn to online voice communication with loudspeaker-equipped
devices due to its convenience. To prevent speech leakage, soundproof rooms are often …
devices due to its convenience. To prevent speech leakage, soundproof rooms are often …
Deep encoder-decoder models for unsupervised learning of controllable speech synthesis
Generating versatile and appropriate synthetic speech requires control over the output
expression separate from the spoken text. Important non-textual speech variation is seldom …
expression separate from the spoken text. Important non-textual speech variation is seldom …
Emotionless: Privacy-preserving speech analysis for voice assistants
Voice-enabled interactions provide more human-like experiences in many popular IoT
systems. Cloud-based speech analysis services extract useful information from voice input …
systems. Cloud-based speech analysis services extract useful information from voice input …
Estimation and Voicing Detection With Cascade Architecture in Noisy Speech
As a fundamental problem in speech processing, pitch tracking has been studied for
decades. While strong performance has been achieved on clean speech, pitch tracking in …
decades. While strong performance has been achieved on clean speech, pitch tracking in …