The performance of present-day automatic speech recognition (ASR) systems is seriously compromised by levels of acoustic interference (such as additive noise and room reverberation) representative of real-world speaking conditions. Studies on the perception of speech by human listeners suggest that recognizer robustness might be improved by focusing on temporal structure in the speech signal th...

Spectrograms of speech and audio signals are time-frequency densities, and by construction, they are non-negative and do not have phase associated with them. Under certain conditions on the amount of overlap between consecutive frames and frequency sampling, it is possible to reconstruct the signal from the spectrogram. Deviating from this requirement, we develop a new technique to incorporate ...

The time-frequency spectrogram representation of an audio signal can be visually analysed by a trained researcher to recognise any underlying sound events in a process called “spectrogram reading”. However, this has not become a popular approach for automatic classification, as the field is driven by Automatic Speech Recognition (ASR) where frame-based features are popular. As opposed to speech...

This paper deals with a non-contact method to identify the aerodynamic propeller constants of Parrot AR.Drone quadrotor. The experimental setup consists microphone installed in flight arena record audio data. In terms methodology, spectrogram analysis is adopted estimate velocity based on filtered sound signal. It known that, hovering maneuver, when UAV mass increases, propellers rotate faster ...

This research paper proposes a novel voiceprint generation methodology for recognizing the speakers registered in system. The proposed is keyword-dependent closed set speaker classification task. features used are Mel-Spectrogram, Chromagram, MFCC and new ensembled feature called Mel-Chroma. Mel-Chroma generated with combination of Mel-spectrogram Chromagram. spectrogram converted into binary i...

INTRODUCTION Sounds produced by marine mammals generally have a non-stationary behaviour, ranging from short transients to long tonals, with a huge variety of chirp-like intermediates. Analysis of these sounds needs adapted tools in order to characterise the signals efficiently in both time and frequency dimensions In numerous studies and for well-known reasons, the spectrogram has been used as...

speech sciences deal with the acoustical characteristics of speech by means of sophisticated soft wares as well as hard wares. although, a speech science is a well known science in the developed countries, especially the western societies, however, it has been remained almost unknown in iran, though, in recent years a group of scholars have been involved in this branch of science. the applicati...

objective: to evaluate the brain signals in children with autism disorder in many different conditions of quantitative electroencephalography (qeeg) recordings in order to highlight abnormalities and to characterize this group. method: in this study, spectrogram was used as a tool for evaluating qeeg in 15 children with autism disorders (13 boys and 2 girls aged between 6 to 11 years old) and i...

Background: The primary metric extracted from the polysomnogram in patients with sleep apnea is the apnea-hypopnea index (or respiratory disturbance index) and its derivatives. Other phenomena of possible importance such as periods of stable breathing, features suggestive of high respiratory control loop gain, and sleep fragmentation phenotypes are not commonly generated in clinical practice or...