Posts
Normalizing Flows - Part 1
Normalizing flows, popularized by (Rezende, & Mohamed, 2015), are techniques used in machine learning to transform simple probabi...
In Machine Learning, Dec 19, 2020Normalizing Flows - Part 2
In Part-1, we introduced the concept of normalizing flows. Here, we discuss the different types of normalizing flows. In most blogs t...
In Machine Learning, May 08, 2021Code Mixing Metrics
We at skit, recently concluded a seminar series on code-mixing, where we covered research papers that looked at approaches to deal wi...
In Machine Learning, Aug 09, 2021Seminar - Code Mixing in NLP and Speech
Below are some pointers and insights from the papers that we covered in the recently concluded seminar on Code-mixing in NLP and Spee...
In Machine Learning, Aug 24, 2021On using ASR Alternatives for a Better SLU
This blog discusses some concepts from the recently published paper by members of the ML team at Skit (formerly Vernacular.ai). The p...
In Machine Learning, Nov 29, 2021Evaluating an ASR in a Spoken Dialogue System
An ASR (automatic speech recognition) is an integral component of any voice bot. The most popular metric that is used to evaluate the...
In Machine Learning, Jan 21, 2022Turn Taking Dynamics in Voice Bots
One of the challenges in building an interactive voice bots is accounting for turn taking behaviour. Turn-taking is a difficult probl...
In Machine Learning, Mar 07, 2022