There are several ways to create text-to-speech (TTS) that sounds more natural:
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Use high-quality TTS engines: TTS engines that use advanced machine learning techniques, such as neural networks, can produce more natural-sounding speech.
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Use natural language processing (NLP) techniques: NLP techniques, such as part-of-speech tagging and named entity recognition, can help TTS systems understand the context and meaning of the text, which can lead to more natural-sounding speech.
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Use prosody information: Prosody information, such as intonation, stress, and rhythm, can help TTS systems produce speech that sounds more natural.
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Use pre-recorded data: Some TTS systems use pre-recorded data, such as speech samples from real people, to generate speech that sounds more natural.
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Use of Voice-Acting: Use of professional voice actors can help to create more natural TTS, as they can add human-like emotions and expressions.
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Use of Text-preprocessing: Preprocessing the text by adding punctuations, capitalizations, and special characters can also help to create more natural TTS.
It’s important to note that creating natural-sounding TTS is a difficult task, as it requires a deep understanding of the intricacies of human speech and language. However, with the advancement in technology, TTS systems are becoming more and more realistic.