Siamese Autoencoders for Speech Style Extraction and Switching Applied to Voice Identification and Conversion

doi 10.21437/interspeech.2017-1434
Full Text
Abstract

Available in full text

Date
Authors
Publisher

ISCA

Related search

Unsupervised Learning of a Disentangled Speech Representation for Voice Conversion

2019English

Incorporating Dialectal Features in Synthesized Speech Using Voice Conversion Techniques

International Journal of Computer Applications
2018English

Speech and Voice Correction

Journal of Laryngology and Otology
MedicineOtorhinolaryngology
1949English

Deep Siamese Architecture Based Replay Detection for Secure Voice Biometric

2018English

Voice Restoration After Laryngectomy Based on Magnetic Sensing of Articulator Movement and Statistical Articulation-To-Speech Conversion

Communications in Computer and Information Science
MathematicsComputer Science
2017English

HMM-Based Style Control for Expressive Speech Synthesis With Arbitrary Speaker's Voice Using Model Adaptation

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2009English

Use of Technology to Assess Speech Production and Voice

Perspectives of the ASHA Special Interest Groups
2019English

Naturalness Improvement Algorithm for Reconstructed Glossectomy Patient's Speech Using Spectral Differential Modification in Voice Conversion

2018English

HMM-based Sequence-To-Frame Mapping for Voice Conversion

2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy