This paper describes a system for recognizing distress calls and home automation voice commands in a smart-home. Distress calls are recognized with the purpose of assisting people in their own homes: when they are detected, a phone call is automatically established with a contact in a address book and the person can request for assistance. The voice call is established through a voice over ip s...

This paper describes some methodological concerns to be considered when designing systems for automatic detection of voice pathology, in order to enable comparisons to be made with previous or future experiments. The proposed methodology is built around the Massachusetts Eye & Ear Infirmary (MEEI) Voice Disorders Database, which to the present date is the only commercially available one. Discus...

This study aimed to investigate the realizations of verbs’ syntactic and semantic features inmoves of applied linguistics research article introductions published in international andIranian local journals. To this end, a data of 30 research article introductions (15 published inIranian local journals and 15 in high impact international journals) was selected. The researcharticle introductions ...

Voice activity detectors are presented to extract silence/speech segments of the speech signal eliminate different background noise signals. A novel voice detector is proposed in this paper using spectro-temporal features extracted from auditory model signal. After extracting scale, rate, and frequency feature space, a sparse structured principal component analysis algorithm used consider basic...

Voice control has long been considered as a natural mechanism to assist powered wheelchair users. However, one implementation difficulty is that a voice input system may fail to recognise a user’s voice. Indeed, speech activated interface between human and autonomous/semi-autonomous systems requires accurate detection and recognition. In this area pitch and end-point detection is of vital impor...

Detecting distinct features in modern pop music is an important problem that can have significant applications in areas such as multimedia entertainment. They can be used, for example, to give a visually coherent representation of the sound. We propose to integrate a singing voice detector with a multimedia, multi-touch game where the user has to perform simple tasks at certain key points in th...

• Voice activity detection is the process by which algorithms called Voice Activity Detectors (VADs) are able to distinguish regions that contain speech from regions that do not contain speech in an audio signal • Several features distinguish speech from nonspeech, however, where the speech signal is corrupted by background noise it becomes more and more difficult to characterize these features...

To fully enable voice interaction in wearable devices, a system requires low-power, customizable voice-authenticated wake-up. Existing speaker-verification (SV) methods have shortcomings relating to power consumption and noise susceptibility. To meet the application requirements, we propose a low-power, text-dependent SV system comprising a sparse spectral feature extraction front-end showing i...

We propose a DNN-based voice activity detector augmented by entropy based frame rejection. DNN-based VAD classifies a frame into speech or non-speech and achieves significantly higher VAD performance compared to conventional statistical model-based VAD. We observed that many of the remaining errors are false alarms caused by background human speech, such as TV / radio or surrounding peoples’ co...

In many streaming speech recognition applications such as voice search it is important to determine quickly and accurately when the user has finished speaking their query. A conventional approach to this task is to declare end-of-query whenever a fixed interval of silence is detected by a voice activity detector (VAD) trained to classify each frame as speech or silence. However silence detectio...