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2. Comparison of machine translation applications - Wikipedia

   en.wikipedia.org/wiki/Comparison_of_machine...

   The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.

3. 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.

4. Speech translation - Wikipedia

   en.wikipedia.org/wiki/Speech_translation

   The generated translation utterance is sent to the speech synthesis module, which estimates the pronunciation and intonation matching the string of words based on a corpus of speech data in language B. Waveforms matching the text are selected from this database and the speech synthesis connects and outputs them.

5. Speech synthesis - Wikipedia

   en.wikipedia.org/wiki/Speech_synthesis

   The synthesis system was divided into a translator library which converted unrestricted English text into a standard set of phonetic codes and a narrator device which implemented a formant model of speech generation.. AmigaOS also featured a high-level "Speak Handler", which allowed command-line users to redirect text output to speech. Speech ...

6. OpenAI says it’s not using voice data or transcripts of calls ...

   www.aol.com/finance/openai-says-not-using-voice...

   Voice recognition quality is an important feature for companies developing new “multimodal” AI services such as OpenAI, Google, Meta, and Apple. And offering a free phone service to collect ...

7. Audio deepfake - Wikipedia

   en.wikipedia.org/wiki/Audio_deepfake

   It is necessary to collect clean and well-structured raw audio with the transcripted text of the original speech audio sentence. Second, the Text-To-Speech model must be trained using these data to build a synthetic audio generation model. Specifically, the transcribed text with the target speaker's voice is the input of the generation model ...