aditya-joglekar / fs02_scoring_toolkit Goto Github PK
View Code? Open in Web Editor NEWScoring Toolkit for the Fearless Steps Challenge Phase-02 Tasks
Home Page: https://fearless-steps.github.io/ChallengePhase2/
License: Other
Scoring Toolkit for the Fearless Steps Challenge Phase-02 Tasks
Home Page: https://fearless-steps.github.io/ChallengePhase2/
License: Other
Hi,
We are preparing the submission for ASR1 and ASR2 tracks and I have a doubt regarding the track names.
From the website https://fearless-steps.github.io/ChallengePhase2/ASR.html, I understand Track 1 is non-diarized audios (expected format - single file), Track 2 - with reference segments (expected json files with timestamps)
However, from https://github.com/AJoGaTech/FS02_Scoring_Toolkit/tree/master/egs/sys_results/ASRIt looks the opposite: Track1 has jsons, Track 2 - a single file.
I believe github has more correct information (as we have Track 2 Transcriptions in a single file). But just in case, could you please confirm my understanding is correct? Thanks!
Hello,
Just wanted to confirm.
Currently, we have some words with hyphen ("-") in reference annotations.
Such tokens are currently fully removed by the normalization.
I see 3 options, but not sure which one is the best:
Not sure which one is the best, but I believe some of these would be useful to unify the input from the participants
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.