Speechbrain CTC parameters

Speechbrain is a framework to experiments with neural network in speech. It has components and structure that is usually used for speech tasks, and nicely integrated with pytorch. They have lots of recipes / quickstart configurations for certain speech tasks, but their documentation is not there yet. In this article I’ll explain my exploration for speechbrain parameters, especially for automatic speech recognition (ASR) with connectiionist temporal classification (CTC) loss.

Read More

Tags:

CNN as N Gram Detector

CNN has been used intensively in image processing tasks. However, what about in text? is it feasible to use it in text? and what kind of output will it be translated when we’re using CNN in text?

Read More

Tags:

Introduction to BLEU in Python

BLEU is a metric to quantify effectiveness of an Machine Translation (MT). It stands for BiLingual Evaluation Understudy $^{[1]}$. In general it solves the problem of different human translation references by different annotators when comparing to machine generated translation. Let’s start from using BLEU in NLTK translation package $^{[2]}$

Read More

Tags:

Virtebi Algorithm and Hidden Markov Model - Part 2

I’ve implemented virtebi algorithm and explain the advantage from naive approach at last post. Now it’s time to look at another use case example: the Part of Speech Tagging!

ariepratama.github.io

Personal Blog

#nlp

Speechbrain CTC parameters

CNN as N Gram Detector

Introduction to BLEU in Python

Virtebi Algorithm and Hidden Markov Model - Part 2

Bahasa Indonesia Open Source NLP Resource