In the domain of speech recognition many methods have been proposed over time like
Gaussian mixture models (GMM), GMM with universal background model (GMM-UBM …

In this paper we describe improvements to the IBM speech activity detection (SAD) system
for the third phase of the DARPA RATS program. The progress during this final phase comes …

The need for reliable, scalable and efficient diagnosis of Parkinson's Disease (PD) is a
major clinical need. Automating the diagnosis can lead to more accurate and objective …

In this paper, we address the problem of Language Identification (LID) on short duration
segments. Current state-of-the-art LID systems typically employ total variability i-Vector …

A critical challenge to automatic language identification (LID) is achieving accurate
performance with the shortest possible speech segment in a rapid fashion. The accuracy to …

Speech activity detection (SAD) is front-end in most speech systems, eg, speaker
verification, speech recognition etc. Supervised SAD typically leverages machine learning …

Mobile phone recognition consists of trying to identify the mobile phone brand or model,
which is very important in forensic analysis. In this paper, we exploit the audio recordings to …

Speaker diarization is an unsupervised task that determines" who spoke and when" within
input audio stream. It consists of four sub-systems:(i) speech activity detection (SAD);(ii) …

This paper presents an overview of the progression of short duration spoken language
identification systems and current developments. It reviews different language identification …

Speech signals carry information about the speaker, gender, emotion, and language in
addition to the message being conveyed. A number of inference systems that automatically …