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Text-to-Speech and Natural Language Processing

by Adeel Ikram

Text to Speech and Natural Language Processing

Human society has evolved through language and communication, so it is reasonable to expect the same development from technology. Nowadays, computers have also started understanding large amounts of text or verbal information. 

Text-to-Speech and Natural Language Processing

No wonder the development of technology has made our lives much more effortless. Text-to-speech and natural language processing (NLP) are two of them. And today, we will explore TTS and natural language processing in depth. Keep Reading!    

What are Natural Language Processing and Text-to-Speech Online?

Natural language processing is an interdisciplinary field of computer science, linguistics, and artificial intelligence. It deals with the ability of computers to generate an AI human-like voice by understanding written or verbal commands. Natural language processing has led to many innovative inventions in the past few years, like Alexa and Siri. NLP makes computers interpret what a human is saying or writing and generate responses accordingly.   

However, https://on4t.com/text-to-speech technology only converts written text to audio speech. It processes, interprets, and analyzes the digital text, transforming it into synthesized speech. Nowadays, its algorithms work in collaboration with NLP to generate natural-sounding text-to-speech voices. Without natural language processing, the AI voices sound robotic.    

Collaboration of NLP and TTS 

AI voice generator is an assistive technology that is used to read text out loud. But the technology working in the background isn’t as simple as it sounds. The textual data contains linguistic, non-linguistic, and para-linguistic information, and to generate a speech output, text-to-voice generators process the text.

The steps involved in AI speech synthesis using TTS tools are as follows.

Analysis of Text

Firstly, the text is analyzed word by word, giving meaning to each, and then transformed into phonetic descriptions.  It is a critical and essential stage in AI text-to-speech voices. The structure and the text’s meaning are interpreted here.


Secondly, the speech’s structure is divided into different modules. The first is natural language processing, which retrieves linguistic information. The second is the digital signal processing module, which retrieves all the symbolic data.

NLP Module

The NLP module makes tokens of segmented text and applies the pronunciation rules. Any grammatical error is found in the text and resolved. Then, transcription of the text is prepared, like what is supposed to be read. 


Then, the prosody of the text is produced, which is the interpretation of the rhythm and intonation of the speech. It also includes choosing the accent, pitch, volume, speed, and dialect to bring human-like smoothness to AI voices. 

Speech Synthesis 

Lastly, the speech is synthesized by collecting all the tokens and is re-checked to find and debug any errors. With the advanced text-to-speech online tool, you can add real-life emotions to the AI voice to give it a more realistic touch.   

The Reality-Based AI Voice Generator

If you are looking for the best converter, you won’t regret using TextOspeech’s text-to-voice converter. It is one of the best TTS tools available on the internet that creates studio-quality AI voiceovers of your digital text at an affordable price of $19 per month. Textospeech.net offers you 140+ languages and 500+ AI-generated realistic TTS voices. This AI voice generator has a user-friendly interface that responds to all devices equally.

Final Word

Online text-to-speech is a rapidly evolving area of artificial intelligence. However, natural language processing has made the TTS voices seem realistic because they can generate prosody and emotions, or they would sound robotic. NPL can also analyze human sentiments, accents, and dialects. We discussed today the collaboration of text-to-audio tool and NPL for synthesizing natural-sounding AI voices. 

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