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2. Speech Recognition & Synthesis - Wikipedia

   en.wikipedia.org/wiki/Speech_Recognition_&_Synthesis

   Apps such as textPlus and WhatsApp use Text-to-Speech to read notifications aloud and provide voice-reply functionality. Google Cloud Text-to-Speech is powered by WaveNet, [5] software created by Google's UK-based AI subsidiary DeepMind, which was bought by Google in 2014. [6] It tries to distinguish from its competitors, Amazon and Microsoft. [7]

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. 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. [1]

5. 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 ...

6. Comparison of speech synthesizers - Wikipedia

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

   Name Online demo Available language(s) Available voices Programming language Operating system(s) 15.ai: Yes English (United States) 50+ Python: Any

7. T5 (language model) - Wikipedia

   en.wikipedia.org/wiki/T5_(language_model)

   T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [ 1 ] [ 2 ] Like the original Transformer model, [ 3 ] T5 models are encoder-decoder Transformers , where the encoder processes the input text, and the decoder generates the output text.