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  2. Stump speech - Wikipedia

    en.wikipedia.org/wiki/Stump_speech

    Stump speeches are not meant to generate news, outside of local media covering a candidate's appearance. National media usually ignore their contents in their daily news coverage. The predictability of stump speeches gives reporters a general indication that the candidate will soon conclude his speech.

  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. Teleprompter - Wikipedia

    en.wikipedia.org/wiki/Teleprompter

    A teleprompter, also known as an autocue, is a display device that prompts the person speaking with an electronic visual text of a speech or script. Using a teleprompter is similar to using cue cards.

  5. Dissociated press - Wikipedia

    en.wikipedia.org/wiki/Dissociated_press

    Dissociated press is a parody generator (a computer program that generates nonsensical text). The generated text is based on another text using the Markov chain technique. The name is a play on "Associated Press" and the psychological term dissociation (although word salad is more typical of conditions like aphasia and schizophrenia – which is, however, frequently confused with dissociative ...

  6. Public speaking - Wikipedia

    en.wikipedia.org/wiki/Public_speaking

    Public speaking, also called oratory, is the practice of delivering speeches to a live audience. [3] Throughout history, public speaking has held significant cultural, religious, and political importance, emphasizing the necessity of effective rhetorical skills. It allows individuals to connect with a group of people to discuss any topic.

  7. Speech synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_synthesis

    A text-to-speech system (or "engine") is composed of two parts: [3] a front-end and a back-end. The front-end has two major tasks. First, it converts raw text containing symbols like numbers and abbreviations into the equivalent of written-out words. This process is often called text normalization, pre-processing, or tokenization.