This article is published by CXOtoday on 28/02/2023
CONVA for Apps is 46% more accurate than Google’s Speech-to-text Engines.
Slang Labs, a Google-backed startup from Bengaluru, has announced the launch of CONVA, a full-stack solution that provides smart and highly accurate multilingual voice search capabilities inside e-commerce apps. CONVA is available as a simple SDK (Software Development Kit) that can be integrated into existing e-commerce apps in less than 30 minutes without developers needing any knowledge of Automatic Speech Recognition (ASR), Natural language processing (NLP), Text-to-Speech (TTS) and other advanced voice tech stack concepts. CONVA-powered voice search comprehends mixed-code (multiple languages in one sentence) utterances, enabling consumers to speak naturally in their own language in order to search for products and information inside e-commerce mobile and web apps – while allowing the brand to maintain its app backend in only one language i.e. English. For instance, when people use English and another vernacular language within the same sentence for searching for something, CONVA will understand both languages and provide a seamless search experience to the consumer. Customers can conveniently search for products inside the applications using their typical colloquial terms for well-known products using voice search that is enabled by CONVA, and the apps will still be able to recognise the correct product being searched.
Kumar Rangarajan, Co-founder of Slang Labs commented saying, “CONVA stands for COnversational iN-app Voice Assistant. CONVA’s smartness in handling multiple variations of product names and filters across multiple languages is what makes it a much more powerful voice search experience for apps than any other product in the world. Several technological innovations in CONVA make it up to 46% more accurate than even Google ASR when it comes to voice search – which is why it is trusted by India’s most popular Ecommerce Apps.” CONVA is presently offered for use in e-commerce, Retail, Travel and Trading apps, and its models have been trained on lakhs of SKUs from a variety of industries, including groceries, FMCG, , medicines, fashion, beauty products, cosmetics and food names. CONVA models are additionally pre-trained on thousands of Indian place names, train stations, airport terminals, bus pickup and drop-off points inside of cities and towns, as well as all the equities traded on the BSE and NSE exchanges. About Slang Labs Slang Labs is a Google-backed startup that offers CONVA – India’s #1 Multilingual Voice Search Assistant for Mobile and Web Apps. CONVA powered voice search is 46% more accurate than Google ASR powered Voice Search as per an objective benchmark study report. CONVA’s Retail AI models are pre-trained on large data sets covering lakhs of SKUs across groceries, FMCG, medicines, cosmetics, fashion, and food items. CONVA’s Travel AI models already understand thousands of city and town names, train stations, airport terminals and bus pickup points across India including all their colloquial variants. CONVA Trading AI models are trained to recognize all the stock names and their codes on BSE and NSE making it the best performing voice search for stocks in India. Slang Labs was co-founded in 2017 by experienced founders who had earlier co-founded Little Eye Labs, the first and only Indian company to be acquired by Meta (Facebook) and had earlier worked in global companies like Apple, Microsoft Research, IBM, HP, BlueCoat, etc. The 20 member Slang Labs team in Bengaluru powers the voice search experience in India’s Top Ecommerce Apps across Retail, Travel and Fintech domains.