Voice Conversion
Noise-Robust Voice Conversion
... We analyzed the performance of the proposed method with voice recordings from the CMU_ARCTIC database, mentioned in Section 2.3.1. Two of the 7 speakers were used to study the performance and feasibility of the ...
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A novel voice conversion approach using admissible wavelet packet decomposition
... The voice conversion (VC) system aims to apply various modifications to the source speaker’s voice so that the converted signal sounds like a particular target speaker’s voice ...
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Non-parallel dictionary learning for voice conversion using non-negative Tucker decomposition
... Voice conversion (VC) is a technique of exclusively converting speaker-specific information in the source speech while preserving the associated phonemic ...natural-sounding voice it achieves when ...
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Reducing over-smoothness in HMM-based speech synthesis using exemplar-based voice conversion
... Voice conversion (VC) is a task to convert some fea- tures of the source speech to those of the target speech, while other features of the source speech are kept unchanged ...the conversion process ...
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Voice conversion using speaker-dependent conditional restricted Boltzmann machine
... a voice conversion (VC) method that utilizes conditional restricted Boltzmann machines (CRBMs) for each speaker to obtain high-order speaker-independent spaces where voice features are converted more ...
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A preliminary demonstration of exemplar-based voice conversion for articulation disorders using an individuality-preserving dictionary
... a voice conversion (VC) method for a person with an articulation disorder resulting from athetoid cerebral ...spectral conversion using nonnegative matrix factorization (NMF) is applied to a ...
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Emotional voice conversion using neural networks with arbitrary scales F0 based on wavelet transform
... of voice conversion (VC) has attracted wide attention in the field of speech ...emotion conversion [1], speech assistance [2], and other applications [3, ...spectral conversion in the past few ...
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Incorporating Dialectal Features in Synthesized Speech using Voice Conversion Techniques
... Voice conversion is carried out in four basic steps: acoustic modeling, alignment of features, development of a mapping function, and finally synthesis using converted ...
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Individuality Preserving Voice Conversion for Articulation Disorders Using Locality Constrained NMF
... a voice conversion (VC) method for a person with an articulation disorder resulting from athetoid cerebral ...spectral conversion using Non- negative Matrix Factorization (NMF) is applied to a ...
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Non-Parallel Training in Voice Conversion Using an Adaptive Restricted Boltzmann Machine
... a voice conversion (VC) method that does not use any parallel data while training the ...the conversion stage, a given speech signal is decomposed into phonological and speaker- related information, ...
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Speaker-adaptive-trainable Boltzmann machine and its application to non-parallel voice conversion
... a voice conversion (VC) method that does not use any parallel data while training the ...model. Voice conversion is a technique where only speaker-specific information in the source speech is ...
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Grid-based approximation for voice conversion in low resource environments
... a conversion function from a source speaker to a target speaker, voice conversion methods use training sets of both ...a conversion function is based on coupled feature vectors—source and ...
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Multimodal voice conversion based on non-negative matrix factorization
... A multimodal voice conversion (VC) method for noisy environments is proposed. In our previous non-negative matrix factorization (NMF)-based VC method, source and target exemplars are extracted from parallel ...
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GPU Friendly Local Regression for Voice Conversion
... While various models have been proposed (Stylianou et al., 1998; Toda et al., 2007; Toda et al., 2005), the most accurate ones are non-parametric because the mapping between two voices’ spectra can be highly non-linear ...
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A Study of Bilinear Models in Voice Conversion
... in voice conversion and also affects the me- thod proposed in this paper to some ...for voice conversion, by studying the voice conversion in terms of style (speaker identity) ...
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Small-parallel exemplar-based voice conversion in noisy environments using affine non-negative matrix factorization
... We assume that our approach using NMF has two advantages over conventional statistical VC. The first advantage is noise robustness and the second is the resul- tant natural-sounding converted voice. The noise ...
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Individuality preserving Voice Conversion for Articulation Disorders Using Dictionary Selective Non negative Matrix Factorization
... a voice conversion (VC) method for articulation ...thesized voice when they give a ...their voice in advance is hard for ...their voice into a clear voice that preserves their ...
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Cross-Lingual Voice Conversion with Non-Parallel Data
... Voice Conversion (VC) is a machine learning technique that aims to change the personal characteristics of a voice message while preserving the linguistic ...the voice identity of the speaker ...
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REAL TIME HAND GESTURE RECOGNITION AND VOICE CONVERSION SYSTEM FOR DEAF AND DUMB PERSON BASED ON IMAGE PROCESSING
... Speech recognition or Automatic Speech Recognition (ASR) is an essential and integral part of the human computer interaction and for a natural and ubiquitous computing speech plays an important part. It is the process of ...
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Audio Feature Extraction with Convolutional Neural Autoencoders with Application to Voice Conversion
... individual’s voice are in many ways imbued with the character of the ...human voice actors, much thought is given to the vocal performance for each character, which can become iconic, to ensure that the ...
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