enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

2. Retrieval-based Voice Conversion - Wikipedia

   en.wikipedia.org/wiki/Retrieval-Based_Voice...

   Retrieval-based Voice Conversion (RVC) is an open source voice conversion AI algorithm that enables realistic speech-to-speech transformations, accurately preserving the intonation and audio characteristics of the original speaker.

3. Deep learning speech synthesis - Wikipedia

   en.wikipedia.org/wiki/Deep_learning_speech_synthesis

   Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum . Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text.

4. Whisper (speech recognition system) - Wikipedia

   en.wikipedia.org/wiki/Whisper_(speech...

   Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]

5. Comparison of speech synthesizers - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_speech...

   Software license; 15.ai: 15: 2020 2022 Apple PlainTalk: Apple Inc. 1984 2018 Bundled with Mac OS X: AT&T Natural Voices: AT&T Natural Voices? 2008 Proprietary: Polly: Amazon AWS 2016 2019 Proprietary: Cepstral: Cepstral 2000 2013 Proprietary: CereProc: CereProc 2006 2017, February Proprietary: eSpeak: Jonathan Duddington 2006, February 10 2022 ...

6. Ilya Sutskever hired him to create ChatGPT’s voice at ... - AOL

   www.aol.com/finance/ilya-sutskever-hired-him...

   Backed by $40 million from a16z, Alexis Conneau’s new startup Waveforms is taking his work on OpenAI's voice mode to the next level. Ilya Sutskever hired him to create ChatGPT’s voice at OpenAI.

7. Audio deepfake - Wikipedia

   en.wikipedia.org/wiki/Audio_deepfake

   Specifically, the transcribed text with the target speaker's voice is the input of the generation model. The text analysis module processes the input text and converts it into linguistic features. Then, the acoustic module extracts the parameters of the target speaker from the audio data based on the linguistic features generated by the text ...