A Brazilian Portuguese Real-Time Voice Recognition to deal with sensitive data

João Carlos Néto

João Carlos Néto

São Paulo, State of São Paulo

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Voice recognition is generally performed by cloud providers centrally, and it is not suitable for financial institutions, because sensitive user data cannot be provided openly to third parties. This work proposes a simple voice-bot for Brazilian Portuguese real-time voice recognition. ...learn more

Project status: Under Development

Artificial Intelligence

Intel Technologies
AI DevCloud / Xeon, Intel Python, MKL, Intel CPU, Ngraph

Overview / Usage

This work proposes a simple voice-bot for Brazilian Portuguese real-time voice recognition, definite purpose, specific vocabulary and in a secure way without exposure of sensitive data for use on mobile devices.

Methodology / Approach

Deep learning, based on Keras, Tensorflow, and Neon.

Benchmark with DeepSpeech (https://github.com/NervanaSystems/deepspeech).

Technologies Used

Python, Keras, Tensorflow, Nervana-Neon, Nervana-Aeon.

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