How to Build Voice-Based E-Commerce AI Chatbot

In the rapidly evolving landscape of e-commerce, businesses are always on the lookout for innovative ways to enhance customer experiences.

Chatbot are emerging as a game changer, allowing hands-free interaction with E-commerce platforms and enhancing the user experience.

The innovative addition of voice chat has revolutionized customer support for businesses and improved user engagement and experience.

Voice Based AI Chatbots uses speech recognition, Natural Language Processing (NLP), Text-to-Speech (TTS), and conversational AI to allow humans and machines to communicate seamlessly.

Voice Bot Architecture

To develop a powerful voice-based AI e-commerce chatbot, it is important to understand the architecture and workflow.

A voice bot typically follows the following steps:

1. Voice Recognition  
   When the user speaks, the commands are recorded and translated into digital signals for processing.
2. Speech to Text 
   The identified voice is transformed to text using specialized software and technologies such as ‘Google Speech Recognition’.
3. LLM Utilization
   We forward the detected text to LLMs as a user question, prompting them to respond.
4. Text to Speech
   The produced response is transformed to voice using modern software and technologies such as ‘Speech Synthesis’.

By integrating these components effectively, you can build a robust voice bot capable of providing seamless e-commerce experiences.

Building a Voice-Based AI Chatbot

There are a lot of speech to text conversion technologies out there, you can utilize, but When developing a voice-based AI chatbot, leveraging the right technologies is key to achieving accuracy.

We will explore two effective approaches for converting Speech to Text that you can use to build a voice-based AI chatbot.

JavaScript Speech Recognition API

• JavaScript provides a large set of API for performing different task, One of them is Speech recognition API that is a wonderful tool for speech recognition and speech to text conversion.
• To use the Speech Recognition API, you first need to create an instance of the SpeechRecognition object.
• After creating an instance, You can use prebuilt methods like start() and stop() to start and stop speech recognition.
• Along with these methods, there are several event’s handler that can be used to for smoothing working of voice bot. These include onspeechend, onresult, etc.
• The transcript generated in the above code is the text generated from the user speech
• You can send it to the server API to generate a response from the LLM.

Utilizing Whisper Large V3

• Whisper Large V3 model is part of OpenAI’s Whisper speech recognition system, designed for high-quality transcription and translation of audio.
• You can record user voice using mediaRecorder in JavaScript and send it to backend in the form of Audio Blob.
• You can send these Blobs to Whisper Large V3 via an API call, along with the prompt.
• It takes care of Speech to text Conversion as well as response generation.

Both of the above method will respond to you in text format and for user engagement. It is important to convert this text into audio output.

There are various Text to Speech approaches that you can use to convert your text into audible audio responses.

A good Text to Speech approach should contain these features :-

• Multiple Language Support
• Natural Sounding Voices
• Integration Capabilities
• Customization options.

By selecting the right Text to Speech approach, you can effectively enhance user experience and engagement through audible audio responses.

One of the best approaches out there is JavaScript Speech Synthesis API.

Speech Synthesis API

The JavaScript Speech Synthesis API is a remarkable instrument that enables the conversion of ordinary text into spoken words, thereby generating interactive and engaging experiences.

The JavaScript Speech Synthesis API supports a variety of voices with different accents and genders, allowing us to choose the most suitable option for their application.

It is an optimal option for global use due to its support for multiple languages.

How to use JavaScript Speech Synthesis API:

• You can use the SpeechSynthesisUtterance constructor to create a new utterance object.
• The Speak method starts speaking the text defined in the SpeechSynthesisUtterance object.
• You can customize various properties of the SpeechSynthesisUtterance object including voice, pitch, rate etc.

Conclusion

The integration of voice-based AI chatbots into e-commerce is a significant leap forward in enhancing customer experiences.

By leveraging advanced technologies like speech recognition, NLP, and Text-to-Speech, businesses can create seamless, interactive interactions that cater to the needs of their users.

As e-commerce continues to evolve, embracing voice technologies will not only improve user engagement and satisfaction but also position businesses at the forefront of innovation in customer support.

By focusing on quality, versatility, and ease of integration allows businesses to leverage voice tech for memorable shopping experiences, driving growth and loyalty in a competitive market.