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  2. Amazon Polly - Wikipedia

    en.wikipedia.org/wiki/Amazon_Polly

    Amazon Polly is a cloud service by Amazon Web Services, a subsidiary of Amazon.com, that converts text into spoken audio. [1] [2] [3] It allows developers to create speech-enabled applications and products. [4]

  3. Amazon Lex - Wikipedia

    en.wikipedia.org/wiki/Amazon_Lex

    Amazon Lex is a service for building conversational interfaces into any application using voice and text. [1] It powers the Amazon Alexa virtual assistant.In April 2017, the platform was released to the developer community, and suggested that it could be used for conversational interfaces (chatbots or otherwise) including Web, mobile apps, robots, toys, drones, and more.

  4. List of speech recognition software - Wikipedia

    en.wikipedia.org/wiki/List_of_speech_recognition...

    Tazti – Create speech command profiles to play PC games and control applications – programs. Create speech commands to open files, folders, webpages, applications. Windows 7, Windows 8 and Windows 8.1 versions. [5] Voice Finger – software that improves the Windows speech recognition system by adding several extensions to it. The software ...

  5. How to change Alexa’s voice - AOL

    www.aol.com/change-alexa-voice-200000394.html

    Fun fact: Alexa can speak in a variety of languages and accents that you have access to on your Alexa app. You can change Alexa’s voice settings just for kicks, sure. But the voice settings also ...

  6. 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.

  7. 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.

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