Darwin Messenger

A web chat with simultaneous message translation and speech recognition

industry
Utility
duration
4 months
team size
6 people
Darwin Messenger
project goals

Build a website for audio stream and text chatting

Our aim was to build a complex system allowing to support audio chat and automatically translate speech into text, simultaneously translating it into a given language. In addition, it was required to analyze the speech, calculating the speaker's language and also other characteristics of the voice, including gender and age.

1

Fast and Accurate Speech Recognition

2

Reliable Translation from one language to another

3

Innovative Voice Verification and Analysis

Amazing Voice Experiences
speech recognition

Amazing Voice Experiences

We built a voice application with fast and accurate transcription through AI Speech Recognition.

Reliable Translation from one language to another
language categorization

Reliable Translation from one language to another

We have added a feature to automatically translate the text spoken by the speaker into the listener's language with high accuracy.

Innovative Voice Verification and Analysis
speaker identification

Innovative Voice Verification and Analysis

We have added an authorization module offering users a seamless, secure, and passwordless authentication experience by identifying them based on voice biometrics instead of hard-to-remember passwords

technologies

Only the most modern technologies

Frontend

ReactJs / Typescript / Deepgram / Google Cloud / Amazon Cloudfront / Bitbucket Services / CircleCI /

Backend

Node.Js / NestJs / Phonexia / Deepgram / Google Cloud / AWS Services / Bitbucket Services /

results

Our team has developed this web resource in record time, using the latest innovations in the field of speech recognition and analysis. In particular, non-standard innovative approaches were used while implementing the voice biometry and verification.

Support Chat

We usually respond within 5 minutes on average
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