Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Manjunath Mulimani"'
Publikováno v:
Multimedia Tools and Applications. 82:9447-9457
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3231d763459edf9f2322a6fe0364079
https://doi.org/10.1007/s11042-022-13763-6
https://doi.org/10.1007/s11042-022-13763-6
Publikováno v:
Digital Signal Processing. 139:104062
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bdfa734227c5c349c2c07c4d794cfdf
https://doi.org/10.1016/j.dsp.2023.104062
https://doi.org/10.1016/j.dsp.2023.104062
Autor:
Shantanu Sachdeva, Manjunath Mulimani
Publikováno v:
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2117ed512ccbbc8a4bed87136909e29a
https://doi.org/10.23919/indiacom54597.2022.9763271
https://doi.org/10.23919/indiacom54597.2022.9763271
Publikováno v:
Interspeech 2021.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77f2a69c3a562a3fb7b87f3c6557601e
https://doi.org/10.21437/interspeech.2021-656
https://doi.org/10.21437/interspeech.2021-656
Publikováno v:
Applied Acoustics. 155:130-138
In this paper, a novel Fusion Fisher Vector (FFV) features are proposed for Acoustic Event Classification (AEC) in the meeting room environments. The monochrome images of a pseudo-color spectrogram of an acoustic event are represented as Fisher vecto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55789aba26ada4b9b1003017267f84e3
https://doi.org/10.1016/j.apacoust.2019.05.020
https://doi.org/10.1016/j.apacoust.2019.05.020
Publikováno v:
Digital Signal Processing. 87:1-9
In this paper, we proposed a novel parallel method for extraction of significant information from spectrograms using MapReduce programming model for the audio-based surveillance system, which effectively recognizes critical acoustic events in the sur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2ac03cea379308362c42909f56b6fc6
https://doi.org/10.1016/j.dsp.2019.01.001
https://doi.org/10.1016/j.dsp.2019.01.001
Publikováno v:
Expert Systems with Applications. 120:413-425
The traditional frame-based speech features such as Mel-frequency cepstral coefficients (MFCCs) are specifically developed for speech/speaker recognition tasks. Speech is different from acoustic events, when one considers its phonetic structure. Henc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28443cf02f6e0818dc00745e4d4d44c7
https://doi.org/10.1016/j.eswa.2018.12.004
https://doi.org/10.1016/j.eswa.2018.12.004
Publikováno v:
2021 6th International Conference for Convergence in Technology (I2CT).
Enabling devices to make sense of sound is known as Acoustic Scene Classification (ASC). The analysis of various scenes by applying computational algorithms is known as computational auditory scene analysis. The main aim of this paper is to classify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::874f7b5d5bae8bea42ad9db50f439a0d
https://doi.org/10.1109/i2ct51068.2021.9418177
https://doi.org/10.1109/i2ct51068.2021.9418177
Autor:
Sreetama Mukherjee, Manjunath Mulimani
Publikováno v:
Expert Systems with Applications. 191:116195
Every music composition has a composer at the core of its building block, molding it into a style of their own. The creative compositional style of a composer varies dynamically with every composer which is perishable and inimitable but cannot be pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eabfd44cc9f8c0e398c5ca418c831547
https://doi.org/10.1016/j.eswa.2021.116195
https://doi.org/10.1016/j.eswa.2021.116195
Publikováno v:
ICASSP
In this paper, a Deep Neural Network (DNN)-driven feature learning method for polyphonic Acoustic Event Detection (AED) is proposed. The proposed DNN is a combination of different layers used to characterize multiple overlapped acoustic events in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7b4133f5f72582350de226b54f194520
https://doi.org/10.1109/icassp40776.2020.9054208
https://doi.org/10.1109/icassp40776.2020.9054208