Search results for "Audio analyzer"

showing 2 items of 2 documents

Adaptive Mid-Term Representations for Robust Audio Event Classification

2018

Low-level audio features are commonly used in many audio analysis tasks, such as audio scene classification or acoustic event detection. Due to the variable length of audio signals, it is a common approach to create fixed-length feature vectors consisting of a set of statistics that summarize the temporal variability of such short-term features. To avoid the loss of temporal information, the audio event can be divided into a set of mid-term segments or texture windows. However, such an approach requires to estimate accurately the onset and offset times of the audio events in order to obtain a robust mid-term statistical description of their temporal evolution. This paper proposes the use of…

Audio signalAcoustics and UltrasonicsComputer sciencebusiness.industryFeature vectorPattern recognition01 natural sciences030507 speech-language pathology & audiology03 medical and health sciencesComputational MathematicsNonlinear systemFraming (construction)Acoustic event detection0103 physical sciencesAudio analyzerComputer Science (miscellaneous)SegmentationArtificial intelligenceElectrical and Electronic Engineering0305 other medical sciencebusiness010301 acousticsTemporal informationIEEE/ACM Transactions on Audio, Speech, and Language Processing
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On the Robustness of Deep Features for Audio Event Classification in Adverse Environments

2018

Deep features, responses to complex input patterns learned within deep neural networks, have recently shown great performance in image recognition tasks, motivating their use for audio analysis tasks as well. These features provide multiple levels of abstraction which permit to select a sufficiently generalized layer to identify classes not seen during training. The generalization capability of such features is very useful due to the lack of complete labeled audio datasets. However, as opposed to classical hand-crafted features such as Mel-frequency cepstral coefficients (MFCCs), the performance impact of having an acoustically adverse environment has not been evaluated in detail. In this p…

ReverberationNoise measurementComputer scienceSpeech recognitionFeature extraction02 engineering and technologyConvolutional neural network030507 speech-language pathology & audiology03 medical and health sciencesRaw audio formatRobustness (computer science)Audio analyzer0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingMel-frequency cepstrum0305 other medical science2018 14th IEEE International Conference on Signal Processing (ICSP)
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