Voice assistants based on artificial intelligence

The importance of voice assistants[1] based on artificial intelligence[2] (AI) in today’s society is not hidden from anyone. Today, voice assistants based on artificial intelligence are used in personal use, many businesses and even organizations, from smartphones to medical institutions, the existence of a voice assistant is necessary to help humans. The number of voice assistants in the market is increasing day by day and they will be more integrated with our lives every day.

An intelligent voice assistant is a software program that relies on technologies such as natural language processing [3] (NLP) to follow voice and text commands. Voice assistants are capable of performing many of the same tasks as human assistants, such as reading text, receiving messages, making calls, and much more. These smart assistants search for an answer to the user’s question online and respond to the user with text or voice. The smart assistant uses automatic speech recognition[4] (ASR), speech-to-text[5] (TTS) or speech synthesis and natural language processing modules to provide services.

Voice assistant software can be found on smart speakers, smart watches, mobile phones, tablets and other devices. This technology first came to help websites in 1996, and then in 2005, applications were also equipped with an intelligent voice assistant. Many devices that we use every day use conversational chatbot modules [6]. Therefore, many mobile applications and operating systems, automobiles, educational platforms, healthcare and telecommunications use this technology. The most well-known of these softwares are Alexa (Amazon), Siri (Apple), Google Assistant (Google) and Bixby (Samsung), which thanks to their compatibility with washing machines, lamps, stoves, air conditioning units, etc. They include the environment around humans.

As mentioned earlier, one of the requirements for the presence of voice assistants are intelligent conversational chatbots, the core of these chatbots includes the important part of the voice assistant, i.e. NLP. Deep neural networks[7], especially transformers, have revolutionized natural language processing, including the development of natural language perception[8] (NLP) models for intelligent chatbots. Transformers are a type of deep neural network that have been shown to outperform previous approaches in many natural language processing tasks, including language translation, text summarization, and sentiment analysis.

[1] Voice Assistant

[2] Artificial Intelligence

[3] Natural Language Processing

[4] Automatic Speech Recognition

[5] Text to Speech

[6] Conversional AI Chatbots

[7] Deep Neural Network

[8] Natural Language Understanding

The most popular transformer-based NLU model for chatbots is the OpenAI GPT model. The GPT model is a pre-trained language model that is fine-tuned on a large volume of conversational data. These models are developed with generative artificial intelligence technology. Generative AI refers to deep learning models that can generate high-quality text, images, and other content based on data they’ve been trained on.

AI has gone through many cycles of hype, but even for skeptics, the release of ChatGPT seems like a turning point. OpenAI’s chatbot, with its latest major language model, can write poems, tell jokes, and create articles that look like they were created by humans.

The last time generative AI appeared with this power was in the advancement of machine vision. Selfies that turned into renaissance-style portraits and prematurely aged faces that filled social media feeds. Five years later, it is the leap forward in natural language processing, and the ability of large language models to apply to any subject, that has captured the public’s attention. And it’s not just about language, generative models can also learn the grammar of software code, molecules, natural images, and various other types of data.

The GPT model uses a multi-layer transformer architecture that can process and generate text sequences. This model can generate an answer to a user’s question by predicting the next word or sequence of words that are most likely to follow based on the context of the conversation.

ChatGPT and GPT-4 models have moved the boundaries of science, and the public was exposed to the power of artificial intelligence through them. These models are trained using reinforcement learning from human feedback. In this method, it is actually an attempt to use the feedback of a human agent in training a model, which is considered a step forward in terms of human-model interaction.

In summary, transformer-based NLU models have revolutionized the development of chatbots by enabling more accurate and efficient understanding of user queries and generating appropriate responses based on the context of the conversation.

The three main modules of voice assistants are automatic speech recognition modules, natural language processing and speech to text conversion.

Asr Gowish Pardaz company has been a leader in the design and development of each of these modules for a long time. And currently, it has registered software based on each of these technologies. Speech to text conversion is one of the softwares that Asr Gowish Pardaz Company designed and marketed as the first Persian speech to text conversion software. This company has always upgraded and improved this software with the latest methods of the world, which achieved the best accuracy for telephone speech and microphone among its competitors last year. Ariana-4 software is one of the other softwares that have been released to the market based on text-to-speech technology.

The newest product of Asr Goish Pardaz company is Danabat. Dana is a smart voice assistant based on the Chat-GPT API, which has become a full-fledged Persian smart assistant in the field of voice assistants by using other company products. This robot is able to receive your voice message in Farsi language, hear it, produce a suitable and relevant answer and read it for you with expressive voice and in Farsi language with the speech-to-text conversion module.

Also, the ability to customize this chatbot is one of the advantages that can be used in various fields, educational, medical, organizational, etc. Asr Gowish Pardaz Company is ready to cooperate for the design and customization of this product in various fields.

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