Spurious noise in car cabinet can be not only annoying bust also indicative of some potential faults. A small square microphone array with 4 sensors was adopted in this paper to localize the sound source in car for fault diagnosis. A new voice activity detection (VAD) algorithm was proposed for the typical discontinuous short-time noise in car due to some fault and applied to direction of arrival (DOA) estimation as a pre-processing stage. Four different time delay estimation methods were compared based on the measurements from a typical passenger. Experimental results illustrate that the VAD algorithm is crucial to achieve robust fault localization performance and the generalized cross-correlation method with phase transform weighting fu...
This contribution deals with the in situ detection and localisation of brake squeal in an automobile...
Interior sound measurements play an important role in vehicle development and refinement. Sometimes ...
International audienceOne of the most difficult challenges in developing an Autonomous Vehicle (AV) ...
Spurious noise (rattles, squeaks, etc) in the interior of car cabinets can be annoying, distractive ...
Spurious noise (rattles, squeaks, etc) in the interior of car cabinets can be annoying, distractive ...
This paper addresses issues in improving hands-free speech recognition performance in car environme...
The aim of this research is to investigate microphone array techniques based condition monitoring (C...
A system has been investigated for the detection of incoming direction of an emergency vehicle. Acou...
Direction of Arrival (DOA) estimation is an important technique for speech perception and speaker lo...
Speech processing in the automotive environment is a challenging problem due to the presence of powe...
Several real-life applications require a system that would reliably locate and track a single speake...
Direction of Arrival (DOA) estimation is an important technique for speech perception and speaker lo...
Performance of automatic speech recognition relies on a vast amount of training speech data mostly r...
The pressure changes of an acoustic wavefront are sensed with a microphone that acts as a transducer...
The measurement of sound power from a car has traditionally been done by taking the car to a test si...
This contribution deals with the in situ detection and localisation of brake squeal in an automobile...
Interior sound measurements play an important role in vehicle development and refinement. Sometimes ...
International audienceOne of the most difficult challenges in developing an Autonomous Vehicle (AV) ...
Spurious noise (rattles, squeaks, etc) in the interior of car cabinets can be annoying, distractive ...
Spurious noise (rattles, squeaks, etc) in the interior of car cabinets can be annoying, distractive ...
This paper addresses issues in improving hands-free speech recognition performance in car environme...
The aim of this research is to investigate microphone array techniques based condition monitoring (C...
A system has been investigated for the detection of incoming direction of an emergency vehicle. Acou...
Direction of Arrival (DOA) estimation is an important technique for speech perception and speaker lo...
Speech processing in the automotive environment is a challenging problem due to the presence of powe...
Several real-life applications require a system that would reliably locate and track a single speake...
Direction of Arrival (DOA) estimation is an important technique for speech perception and speaker lo...
Performance of automatic speech recognition relies on a vast amount of training speech data mostly r...
The pressure changes of an acoustic wavefront are sensed with a microphone that acts as a transducer...
The measurement of sound power from a car has traditionally been done by taking the car to a test si...
This contribution deals with the in situ detection and localisation of brake squeal in an automobile...
Interior sound measurements play an important role in vehicle development and refinement. Sometimes ...
International audienceOne of the most difficult challenges in developing an Autonomous Vehicle (AV) ...