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Showing 1 to 9 of 9 for “"Voice Conversion"”.

  1. Efficient Approaches for Voice Change and Voice Conversion Systems

    In this thesis, the study and design of Voice Change and Voice Conversion systems are presented. Particularly, a voice change system manipulates a speaker’s voice to be perceived as it is not spoken by this speaker; and voice conversion system modifies a speaker’s voice, such that it is perceived …

    maynooth Repository record for Efficient Approaches for Voice Change and Voice Conversion Systems (opens in a new tab)

  2. Speaker Anonymization using End-to-End Zero-Shot Voice Conversion

    … as writing or social media. However, a person's voice is a distinct biomarker, and there exist many settings in which it may need to be anonymized in order to protect the speaker's identity. This thesis presents a framework for performing speaker anonymization using voice conversion (VC) methods. …

    mit Repository record for Speaker Anonymization using End-to-End Zero-Shot Voice Conversion (opens in a new tab)

  3. SpeechSplit2: An efficient unsupervised speech disentanglement model for multi-aspect voice conversion

    Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-12-01

    uiuc Repository record for SpeechSplit2: An efficient unsupervised speech disentanglement model for multi-aspect voice conversion (opens in a new tab)

  4. Técnicas para conversão de orador em sinais de voz

    Presents a voice conversion system, a system that transforms a voice signal spoken by some speaker into a signal that sounds like it was spoken by another speaker, without changing the textual content of the speech or changing information like emotion or emphasis. The main objective of this work is …

    brazil-uerj Repository record for Técnicas para conversão de orador em sinais de voz (opens in a new tab)

  5. Deep generative models for speech editing

    … as speech synthesis, speech enhancement, and voice conversion. There are two ways that the generative models can help in naturalness for speech processing. The first way is to regularize the speech editing process by defining the sample space of natural speech, and the second way is by …

    uiuc Repository record for Deep generative models for speech editing (opens in a new tab)

  6. SongGen: Framework for Controllable AI Song Generation through Interactive Songwriting and Artist Emulation

    … Future development aims to incorporate voice-based interaction and real-time voice conversion, enabling music artists to guide fans in creating personalized songs.

    mit Repository record for SongGen: Framework for Controllable AI Song Generation through Interactive Songwriting and Artist Emulation (opens in a new tab)

  7. Unsupervised learning of disentangled representations for speech with neural variational inference models

    … range of tasks, including but not limited to: voice conversion, denoising, speaker verification, speaker invariant phonetic feature extraction, and noise invariant phonetic feature extraction. In the last part of this thesis, we examine scalability issues regarding the original FHVAE training …

    mit Repository record for Unsupervised learning of disentangled representations for speech with neural variational inference models (opens in a new tab)

  8. Síntesis multilocutor aplicando técnicas de conversión de hablante

    … degradación de la calidad de la voz. ABSTRACT Voice conversion technologies transform the voice uttered by a person (source speaker) in order that it is perceived as if another person had said it (target speaker). Traditionally the transformation is applied to the natural speech or to the …

    upm Repository record for Síntesis multilocutor aplicando técnicas de conversión de hablante (opens in a new tab)