Search results for "Raw audio format"

showing 2 items of 2 documents

Exploring relationships between audio features and emotion in music

2009

In this paper, we present an analysis of the associations between emotion categories and audio features automatically extracted from raw audio data. This work is based on 110 excerpts from film soundtracks evaluated by 116 listeners. This data is annotated with 5 basic emotions (fear, anger, happiness, sadness, tenderness) on a 7 points scale. Exploiting state-of-the-art Music Information Retrieval (MIR) techniques, we extract audio features of different kind: timbral, rhythmic and tonal. Among others we also compute estimations of dissonance, mode, onset rate and loudness. We study statistical relations between audio descriptors and emotion categories confirming results from psychological …

Emotion classificationmedia_common.quotation_subjectSpeech recognitionAngerLoudnessSadnessBehavioral NeurosciencePsychiatry and Mental healthRaw audio formatMode (music)Neuropsychology and Physiological PsychologyNeurologyHappinessMusic information retrievalPsychologyBiological Psychiatrymedia_commonFrontiers in Human Neuroscience
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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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