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Text-to-speech conversion

As explained in Natural Language Processing in Action, Second Edition

Text-to-speech is the synthesis of spoken audio from written text by software.

Text-to-speech (TTS) converts a chatbot’s written response into synthetic spoken audio, enabling hands-free conversations and voice-first interfaces. section 12.7.4

A practical voice-assistant pipeline connects several stages:

  • Preprocess spoken input with speech-to-text software. section 12.7.4
  • Let the chatbot or dialog engine interpret the text and produce a response. section 12.7.4
  • Pass the response to TTS software for a synthetic voice output. section 12.7.4

Realistic speech and an appropriate tone can be difficult to generate, so high-quality output may require a commercial service. OpenTTS supports self-hosting, while Hugging Face SpeechT5 offers another software option. The voice layer makes interaction feel human, but the system’s understanding comes from the underlying NLP rather than the speech wrapper. section 12.7.4

Figure 12.8 Giving your chatbot a voice
figure

Use the pipeline diagram to trace how spoken input becomes chatbot output and then synthesized speech. section 12.7.4

How Natural Language Processing in Action, Second Edition covers it

How deep it goes
Explains the speech pipeline and practical quality challenge, but defers detailed voice-processing implementation.
Examples
Uses a chatbot voice pipeline, OpenTTS, and Hugging Face SpeechT5 as concrete integration examples.
What it assumes
Assumes a chatbot or dialog engine and explains how speech recognition and speech generation fit around it.
What you can do after
Apply TTS through a named engine or service to add spoken responses to a chatbot.
How it connects
Connects speech-to-text, natural language processing, chatbots, dialog engines, and voice assistants.

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This explainer was generated by Manning's knowledge graph from the text of Natural Language Processing in Action, Second Edition. The section links point to the parts of the book it draws on.