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Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Speech Cloning: Text-To-Speech Using VITS

Authors: Utkarsh, Verma; Dr. Padmanaban, R;

Speech Cloning: Text-To-Speech Using VITS

Abstract

Voice is one of the most common and natural communication methods for humans. Voice is becoming the primary interface for AI voice assistants like Amazon Alexa, as well as in autos and smart home devices. Homes and so on. As human-machine communication becomes more common, researchers are exploring technology that mimics genuine speech. Speech cloning is the practice of copying or mimicking another person's speech, usually utilizing modern technology and artificial intelligence (AI). This entails producing a synthetic or cloned version of someone's voice that sounds very similar to the actual speaker. The objective is to produce speech that is indistinguishable from the genuine person, both in tone and intonation. Instant Voice Cloning (IVC) in text-to-speech (TTS) synthesis refers to the TTS model's capacity to copy the voice of any reference speaker based on a short audio sample, without requiring extra speaker-specific training. This method is usually referred to as zero-shot TTS. IVC provides users with the flexibility to tailor the generated voice, offering significant value across diverse real-world applications. Examples include media content creation, personalized chatbots, and multi-modal interactions between humans and computers or extensive language models.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green