Sound source distance estimation using a small-size microphone array

2012 ◽  
Vol 131 (4) ◽  
pp. 3499-3499
Author(s):  
Satoshi Esaki ◽  
Takanori Nishino ◽  
Kazuya Takeda
Keyword(s):  
Sound Source ◽  
Microphone Array ◽  
Distance Estimation ◽  
Source Distance

scholarly journals Sound Source Distance Estimation Using Deep Learning: An Image Classification Approach

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 172
Author(s):  
Mariam Yiwere ◽  
Eun Joo Rhee
Keyword(s):  
Image Classification ◽  
Sound Source ◽  
Orientation Angle ◽  
Audio Signal ◽  
Distance Estimation ◽  
Classification Problem ◽  
Audio Signals ◽  
Time Frequency ◽  
Proposed Model ◽  
Source Distance

This paper presents a sound source distance estimation (SSDE) method using a convolutional recurrent neural network (CRNN). We approach the sound source distance estimation task as an image classification problem, and we aim to classify a given audio signal into one of three predefined distance classes—one meter, two meters, and three meters—irrespective of its orientation angle. For the purpose of training, we create a dataset by recording audio signals at the three different distances and three angles in different rooms. The CRNN is trained using time-frequency representations of the audio signals. Specifically, we transform the audio signals into log-scaled mel spectrograms, allowing the convolutional layers to extract the appropriate features required for the classification. When trained and tested with combined datasets from all rooms, the proposed model exhibits high classification accuracies; however, training and testing the model in separate rooms results in lower accuracies, indicating that further study is required to improve the method’s generalization ability. Our experimental results demonstrate that it is possible to estimate sound source distances in known environments by classification using the log-scaled mel spectrogram.

Supervised Learning-based Sound Source Distance Estimation Using Multivariate Features

2021 ◽  
Author(s):  
Kalamkas Zhagyparova ◽  
Ruslan Zhagypar ◽  
Amin Zollanvari ◽  
Muhammad Tahir Akhtar
Keyword(s):  
Supervised Learning ◽  
Sound Source ◽  
Distance Estimation ◽  
Source Distance

Sound Source Distance Estimation in Rooms based on Statistical Properties of Binaural Signals

2013 ◽  
Vol 21 (8) ◽  
pp. 1727-1741 ◽  
Author(s):  
Eleftheria Georganti ◽  
Tobias May ◽  
Steven van de Par ◽  
John Mourjopoulos
Keyword(s):  
Sound Source ◽  
Distance Estimation ◽  
Statistical Properties ◽  
Source Distance

scholarly journals Near-Field Discrimination of Sound Source Distance in the Rabbit

2015 ◽  
Vol 16 (2) ◽  
pp. 255-262 ◽  
Author(s):  
Shigeyuki Kuwada ◽  
Duck O. Kim ◽  
Kelly-Jo Koch ◽  
Kristina S. Abrams ◽  
Fabio Idrobo ◽  
...  
Keyword(s):  
Sound Source ◽  
Near Field ◽  
Source Distance
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