Google proposes token-free, byte-level model to process multilingual NLP tasks

June 8, 2021 // by Finnovate

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« Conv.AI app understands mixed language inputs accurately by analyzing audio & text dataVspeech.ai claims to be the only conversational AI company that offers multilingual Speech Recognition in 15 major Indian languages and ten foreign languages. The system also understands a mixture of languages. The company uses an advanced 8 KHZ Mono Engine to understand mixed language inputs accurately. “Current products in the market from Google, Amazon and Azure don’t support mixed languages naturally. Vspeech.ai effectively does that. In the call centres, the voice data carries a lot of noise like background sounds, traffic movements etc. Vspeech.ai bypasses these noises while transcribing voice calls. Vspeech.ai runs on its own proprietary machine learning tools. The technology includes domain-based neural networks, generative adversarial networks and TensorFlow-based AI tools. The language models consist of classifiers and N-gram stacks. The tech stack involves natural language understanding components on top of NLP/NLU libraries. VSpeech.ai builds its own supervised learning methods. The company owns server infrastructure and also has a parallel GPU system to train models. It has a large repository of audio and text data from different languages and uses linguistics experts to transfer that domain knowledge into easily usable tools. VSpeech.ai has also built its own IPA system to understand spoken and written languages effectively. The software is delivered through HTTP/HTTPS, and Socket APIs.The system provides offline as well as online stream mode options for real-time services. Vspeech.ai executes thousands of call transcriptions per day on scalable AWS infrastructure and deploys multiple API on different nodes. Most backend API is in Python and Node.js.

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