ChatGPT Project: AI Voice Generators

One student asked me about AI Voice Generators for a project at the moment. I came up to help to provide the information about AI Voice Generators first and then searched for some potential tools needed. Using ChatGPT, it came out like this.

Prompt #1: Please explain AI tools for native speaker voice generators

AI tools for native speaker voice generators use machine learning algorithms to synthesize speech that sounds like a human speaking. These tools can be used to create computer-generated voiceovers for videos, podcasts, and other multimedia content.

One common approach used in native speaker voice generation is text-to-speech (TTS) technology. TTS technology converts written text into spoken language by synthesizing a digital voice that speaks the text aloud. The process involves breaking down the written text into phonemes, or individual sound units, and then combining these phonemes to create spoken words and sentences.

To make the generated speech sound more natural, AI tools for native speaker voice generation often use neural networks, which are advanced machine learning models that can learn patterns in large datasets of human speech. By training on data sets of human speech, neural networks can learn the nuances of language, including pronunciation, intonation, and stress, and apply these patterns to create more natural-sounding speech.

AI tools for native speaker voice generation may also use techniques such as prosody modeling, which involves analyzing the rhythm, pitch, and stress of spoken language, to create speech that sounds more like a human speaker. Other tools may incorporate speech synthesis markup language (SSML), which allows developers to specify how text should be spoken, including variations in pitch, volume, and speed.

Overall, AI tools for native speaker voice generation are increasingly sophisticated and can be used to create high-quality voiceovers that sound like they were recorded by a human speaker. These tools have many practical applications in areas such as education, entertainment, and marketing, and are likely to continue to evolve and improve in the years ahead.

Prompt #2: Mention free top AI voice generators

There are several free AI voice generators available on the internet. Here are a few top ones:

  1. Google Text-to-Speech: Google Text-to-Speech is a free tool that converts text to spoken language using natural-sounding voices. It’s available for Android devices and can also be used in Chrome browsers on desktops.
  2. IBM Watson Text-to-Speech: IBM Watson Text-to-Speech is another free tool that uses advanced AI algorithms to synthesize natural-sounding speech from written text. It offers a wide variety of voices in different languages and dialects.
  3. Amazon Polly: Amazon Polly is a cloud-based text-to-speech service that offers more than 30 lifelike voices in multiple languages. It can be used to generate speech for a wide range of applications, including games, e-learning, and podcasts.
  4. Natural Reader: Natural Reader is a free text-to-speech software that can convert written text into spoken language in several different voices. It’s available for both Windows and Mac computers.
  5. Balabolka: Balabolka is a free text-to-speech software that can read text aloud using natural-sounding voices. It’s compatible with a wide range of file formats and can be used to generate speech in multiple languages.

It’s important to note that while these tools are free to use, some may have limitations on the amount of text you can process per day or require a subscription for advanced features.

Again, the responses are ‘acceptable’ in terms of providing initial information. But it needs more detailed elaborations on the responses. I guess this is the gap where teachers and students can jump in, to work on the pedagogical soundness more of the process of learning.

@mhsantosa (2023)

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