BaoNoi
AI-powered voice technology for news on-the-go
Project Overview
Bao Noi is a mobile app that compiles news articles, converts them to speech, and allows users to listen to them. The app also provides summaries of hot news and recommends top news of the day to users.
CLIENT
CodeLink
Team Model
Front-end Developer
2 x Back-end Developers
Machine Learning Lead
Quality Assurance Engineer
Product Designer
Product Owner
Dev Ops Engineer
PLATFORM
Web, iOS & Android
TECHNOLOGY
Doc2Vec
Flutter
Python Flask
NextJS
Text Summarization
Text to Speech & Speech to Text
Recommender System
NestJS
Challenge
How can we assist Vietnamese users in listening to a broad range of written news articles while on the go?
Request
CodeLink identified a gap in the market for voice-read news articles curated from all of the main Vietnamese news outlets. They wanted to apply their proprietary text-to-speech and speech-to-text AI model to solve this problem. To achieve this goal, CodeLink tasked their internal teams with building a mobile application that aggregates news from the top Vietnamese publishers and lets users listen to the curated articles.
Engagement Model
The CodeLink internal team worked as a fully autonomous team to design and build out the Web application, iOS, and Android mobile applications.
Engagement Length and Scale
The initial web release of the platform took 3 months, with the mobile applications developed over 6 weeks.
Project Outcome
The team conducted research and evaluation of various Spectrogram models like Tacotron2 and FastPitch, as well as different Vocoder models like HifiGan. They then built a dataset of 10 hours of audio and used speech-to-text for auto annotation and fine-tuning with human supervision to label 10 hours of audio. After training the model from scratch using the home-grown dataset, the team deployed the inference cluster onto GCP and optimized it to save costs. Bao Noi is now fully released and available on iOS, Android, and the web, providing users with a seamless listening experience.
