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2. Retrieval-based Voice Conversion - Wikipedia

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

   The technology enables voice changing and mimicry, allowing users to create accurate models of others using only a negligible amount of minutes of clear audio samples. These voice models can be saved as .pth files. While this capability facilitates numerous creative applications, it has also raised concerns about potential misuse as deepfake ...

3. Speech synthesis - Wikipedia

   en.wikipedia.org/wiki/Speech_synthesis

   This is an accepted version of this page This is the latest accepted revision, reviewed on 31 January 2025. Artificial production of human speech Automatic announcement A synthetic voice announcing an arriving train in Sweden. Problems playing this file? See media help. Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech ...

4. Microsoft text-to-speech voices - Wikipedia

   en.wikipedia.org/wiki/Microsoft_text-to-speech...

   All mobile voices have been made universal and any user who downloads the language pack of that choice will have one extra male and female voice per that package. A hidden text-to-speech voice in Windows 10 called Microsoft Eva Mobile is present within the system. Users can download a pre-packaged registry file from the windowsreport.com website.

5. WavePad Audio Editor - Wikipedia

   en.wikipedia.org/wiki/WavePad_Audio_Editor

   Batch processing allows users to apply effects and/or convert thousands of files as a single function; Scrub, search, and bookmark audio to find, recall and assemble segments of audio files; Spectral analysis (FFT), speech synthesis (text-to-speech), and voice changer; Audio restoration tools including noise reduction and click pop removal [4]

6. 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.

7. Java Speech API - Wikipedia

   en.wikipedia.org/wiki/Java_Speech_API

   The major steps in producing speech from text are as follows: Structure analysis: Processes the input text to determine where paragraphs, sentences, and other structures start and end. For most languages, punctuation and formatting data are used in this stage. Text pre-processing: Analyzes the input text for special constructs of the language.