This paper presents novel features and an architecture for an automatic on-line acoustic
classification and segmentation system. The system includes speech/non-speech segmentation …

This paper presents work related to tennis stroke detection and classification. For arm
movement acquisition a miniature wearable IMU device, positioned on the player's forearm (right …

The advanced smart home environment presents an important trend for the future of human
wellbeing. One of the prerequisites for applying its rich functionality is the ability to …

This paper presents a novel computationally efficient voice activity detection (VAD) algorithm
and emphasizes the importance of such algorithms in distributed speech recognition (DSR) …

The origin of Lombard effect dates back one hundred years. In 1911 Etienne Lombard
discovered the psychological effect of speech produced in the presence of noise (Lombard, 1911)…

In this paper a robust mel frequency cepstral coefficient feature extraction procedure using
noise reduction, frame attenuation and RASTA processing is presented. In the preprocessing …

Uspešnost razpoznavanja govora se v procesu avtomatskega razpoznavanja govora obcutno
zmanjša, kadarkoli je pri tem prisoten šum. Zaradi dejstva, da je šum v ozadju v svetu …

This paper presents novel feature-group for on-line speech/music segmentation for broadcast
news domain. The features are based on mel-frequency cepstral coefficients variance (…

Following the objective of the Eurospeech special event,'Noise Robust Recognition', the
recognition results of a noise robust front-end, developed by Siemens, on the Aurora 2 …

The evolution of robust speech recognition systems that maintain a high level of recognition
accuracy in difficult and dynamically-varying acoustical environments is becoming …