Suchergebnisse - log-Melspectrogram

A Symphony of Sentiments using Log-Melspectrogram Techniques for Emotional Classification von Jain, Eshika, Singh Gill, Kanwarpartap, Kumar, Mukesh, Rawat, Ruchira

“… This research paper investigates the topic of audio emotion categorization via a novel approach involving log-Mel spectrogram with augmentation. Though it is …”
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Harmonizing Emotions: A Novel Approach to Audio Emotion Classification using Log-Melspectrogram with Augmentation von Agarwal, Muskan, Gill, Kanwarpartap Singh, Thapliyal, Nitin, Rawat, Ramesh Singh

“… This study article explores the field of audio emotion categorization, using a unique method that involves log-Mel spectrogram with augmentation. The research …”
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Emotional Resonance Unleashed by exploring Novel Audio Classification Techniques with Log- Melspectrogram Augmentation von Agarwal, Muskan, Upadhyay, Deepak, Gill, Kanwarpartap Singh, Devliyal, Swati

“… This research work examines the domain of audio emotion categorization, employing a unique approach that incorporates log-Mel spectrogram with augmentation …”
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Audio Emotion Mapping using Enhanced Techniques with Augmented Log-Melspectrograms von Jain, Eshika, Gill, Kanwarpartap Singh, Malhotra, Sonal, Devliyal, Swati

“… Using a novel approach based on log-Mel spectrogram with augmentation, this research piece delves into the realm of audio emotion classification. Although it …”
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Convolutional Neural Networks Using Log Mel-Spectrogram Separation for Audio Event Classification with Unknown Devices von Seo, Soonshin, Kim, Changmin, Kim, Ji-Hwan

“… Audio event classification refers to the detection and classification of non-verbal signals, such as dog and horn sounds included in audio data, by a computer …”
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Health Monitoring of Industrial machines using Scene-Aware Threshold Selection von Singh, Arshdeep, Raju Arvind, Padmanabhan Rajan

“… The proposed framework is trained using log-melspectrogram representations of the sound signal …”
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Convolutional Neural Networks for Environmental Sound Recognition von Segarceanu, Svetlana, Suciu, George

“… a logging activity in forest environment. Unlike other Convolutional Neural Networks solutions to AESR, where the input data ix based either on Log-MelSpectrograms or raw data, we will use as input data linear frequency Log Spectrograms. We will compare these results with the ones obtained with Deep Deed forward Neural Networks applied on Fourier power spectrum …”
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