An Empirical Study of Software Exceptions in the Field using Search Logs

no code implementations • 30 May 2020 • Foyzul Hassan, Chetan Bansal, Nachiappan Nagappan, Thomas Zimmermann, Ahmed Hassan Awadallah

Using the machine learning model, we extracted exceptions from raw queries and performed popularity, effort, success, query characteristic and web domain analysis.

BIG-bench Machine Learning

Local Feature or Mel Frequency Cepstral Coefficients - Which One is Better for MLN-Based Bangla Speech Recognition?

no code implementations • 5 Oct 2013 • Foyzul Hassan, Mohammed Rokibul Alam Kotwal, Md. Mostafizur Rahman, Mohammad Nasiruddin, Md. Abdul Latif, Mohammad Nurul Huda

This paper discusses the dominancy of local features (LFs), as input to the multilayer neural network (MLN), extracted from a Bangla input speech over mel frequency cepstral coefficients (MFCCs).

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1