What Side Hustles Can You Start With A.I. Voice?

Artificial Intelligence (AI) voice technology is becoming increasingly popular in modern times. With the ability to recognize human speech, interpret it, and provide appropriate responses, AI voice technology is becoming increasingly useful in everyday life. This technology is now being integrated into various gadgets such as smartphones, smart home devices, and even automobiles, making it possible to control various activities through voice commands. In addition, AI voice technology is opening up new opportunities for side hustles, and in this article, we will explore some of the side hustles that one can start with AI voice.

Voice Skill Development

Voice skill development is one of the best ways to utilize AI voice technology. With the increasing popularity of voice assistants such as Amazon Alexa and Google Assistant, there is a high demand for voice skills that can be integrated into these devices. A voice skill is a voice application that allows users to perform various activities, such as ordering food, booking a ride, or even controlling home automation devices. As a side hustle, you can start developing voice skills that can be sold on various platforms such as Amazon Alexa Skills Store and Google Assistant Actions.

Voiceover and Dubbing Services

AI voice technology can be used to generate natural-sounding voices that can be used for voiceover and dubbing services. As a side hustle, you can start offering voiceover and dubbing services to various clients, such as YouTube content creators, e-learning platforms, and even movie producers. With AI voice technology, you can generate natural-sounding voices that can be customized to meet the needs of the clients.

Voice Data Collection and Labeling

AI voice technology requires large amounts of voice data to train the algorithms that are used to recognize human speech. As a side hustle, you can start collecting and labeling voice data that can be used to train AI voice algorithms. This data can be collected from various sources, such as phone calls, podcasts, and even video content. Once you have collected the data, you can label it by transcribing it or by adding tags that describe the content. You can then sell the labeled data to AI voice companies that require…