Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: pypi: librosa

https://packages.ecosyste.ms/registries/pypi.org/packages/librosa

Python module for audio and music processing
40 versions
Latest release: over 1 year ago
310 dependent packages
2,028,099 downloads last month

Papers Mentioning librosa 21

10.1016/j.heliyon.2021.e06236

: A neuroscientist's sound toolkit
Cited by: 2
Author(s): N. Jeremy Hill, Scott W.J. Mooney, Glen T. Prusky
Software Mentions: 12
Published: almost 4 years ago

10.1098/rstb.2020.0241

Phylogenetic signal in the vocalizations of vocal learning and vocal non-learning birds
Cited by: 10
Author(s): József Arató, W. Tecumseh Fitch
Software Mentions: 5
Published: over 3 years ago

Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds
Cited by: 9
Author(s): Alison Ribeiro, Nádia Félix Felipe da Silva, Fernanda Neiva Mesquita, Priscila de Cássia Souza Araújo, Thierson Couto Rosa, José Neiva Mesquita Neto
Software Mentions: 3
Published: over 3 years ago

10.3390/ani11020357

Deep Learning-Based Cattle Vocal Classification Model and Real-Time Livestock Monitoring System with Noise Filtering
Cited by: 32
Author(s): Soo Hyun Park, Na Yeon Kim, Sang Ho Moon, Changho Jhin, Hak-Jin Kim, Jung‐Seok Yang, Hyoung Seok Kim, Taek Sung Lee, Ju Young Lee, Soo Hyun Park
Software Mentions: 3
Published: almost 4 years ago

10.3389/fpsyg.2017.01337

Evaluating Hierarchical Structure in Music Annotations
Cited by: 16
Author(s): Brian McFee, Oriol Nieto, Morwaread Farbood, Juan Pablo Bello
Software Mentions: 2
Published: over 7 years ago

10.2196/27667

Using Speech Data From Interactions With a Voice Assistant to Predict the Risk of Future Accidents for Older Drivers: Prospective Cohort Study
Cited by: 4
Author(s): Yasunori Yamada, Kaoru Shinkawa, Masatomo Kobayashi, Hironobu Takagi, Miyuki Nemoto, Kiyotaka Nemoto, Tetsuaki Arai
Software Mentions: 2
Published: over 3 years ago

10.1038/s42003-019-0707-9

Decoding speech from spike-based neural population recordings in secondary auditory cortex of non-human primates
Cited by: 23
Author(s): Christopher Heelan, Ji-Hun Lee, Ronan O’Shea, Laurie Lynch, David M. Brandman, Wilson Truccolo, A. V. Nurmikko
Software Mentions: 2
Published: about 5 years ago

10.1155/2021/6151651

Utterance Clustering Using Stereo Audio Channels
Cited by: 1
Author(s): Yingjun Dong, Neil G. MacLaren, Yiding Cao, Francis J. Yammarino, Shelley D. Dionne, Michael D. Mumford, Shane Connelly, Hiroki Sayama, Gregory A. Ruark
Software Mentions: 2
Published: about 3 years ago

10.3389/fpsyg.2017.01255

Toward Studying Music Cognition with Information Retrieval Techniques: Lessons Learned from the OpenMIIR Initiative
Cited by: 11
Author(s): Sebastian Stober
Software Mentions: 2
Published: over 7 years ago

10.1038/s41598-021-95042-2

An ensemble learning approach to digital corona virus preliminary screening from cough sounds
Cited by: 47
Author(s): Emad A. Mohammed, Mohammad Keyhani, Amir Sanati‐Nezhad, Sayed Hossein Hejazi, Behrouz H. Far
Software Mentions: 2
Published: over 3 years ago

10.1038/s41598-018-28184-5

Optimal neural inference of stimulus intensities
Cited by: 6
Author(s): Travis Monk, Cristina Savin, Jörg Lücke
Software Mentions: 1
Published: over 6 years ago

10.1038/s41598-021-83506-4

Real-time acoustic sensing and artificial intelligence for error prevention in orthopedic surgery
Cited by: 16
Author(s): Matthias Seibold, Steven M. Maurer, Armando Hoch, Patrick O. Zingg, Mazda Farshad, Nassir Navab, Philipp Fürnstahl
Software Mentions: 1
Published: almost 4 years ago

10.3389/frobt.2021.580080

Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network
Cited by: 22
Author(s): Quan Zhou, Jiayuan Shan, Wenlong Ding, Chengyin Wang, Yuan Shi, Fuchun Sun, Haiyuan Li, Bin Fang
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-021-96446-w

Comparing recurrent convolutional neural networks for large scale bird species classification
Cited by: 33
Author(s): Gaurav Gupta, Meghana Kshirsagar, Ming Zhong, Shahrzad Gholami, Juan Lavista Ferres
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-021-96724-7

Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning
Cited by: 43
Author(s): Yoonjoo Kim, YunKyong Hyon, Sung Soo Jung, Sun-Ju Lee, Geon Yoo, Chaeuk Chung, Tae Youl Ha
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-021-95922-7

Musical components important for the Mozart K448 effect in epilepsy
Cited by: 8
Author(s): Robert J. Quon, Michael A. Casey, Edward J Camp, Stephen Meisenhelter, Sarah A. Steimel, Yinchen Song, Markus E. Testorf, Grace Leslie, Krzysztof A. Bujarski, Alan B. Ettinger, Barbara C. Jobst
Software Mentions: 1
Published: over 3 years ago

10.3390/s19245547

UWB Channel Impulse Responses for Positioning in Complex Environments: A Detailed Feature Analysis
Cited by: 20
Author(s): Sebastian Kram, Maximilian Stahlke, Tobias Feigl, Jochen Seitz, Jörn Thielecke
Software Mentions: 1
Published: about 5 years ago

10.3390/s20010172

Sound Source Distance Estimation Using Deep Learning: An Image Classification Approach
Cited by: 11
Author(s): Mariam Yiwere, Eun Joo Rhee
Software Mentions: 1
Published: almost 5 years ago

10.3390/s21175892

Age and Gender Recognition Using a Convolutional Neural Network with a Specially Designed Multi-Attention Module through Speech Spectrograms
Cited by: 30
Author(s): Anvarjon Tursunov, Mustaqeem, Joon Yeon Choeh, Soonil Kwon
Software Mentions: 1
Published: over 3 years ago

10.3390/ijerph17249423

Orofacial Trauma on the Anterior Zone of a Trumpet’s Player Maxilla: Concept of the Oral Rehabilitation—A Case Report
Cited by: 2
Author(s): Miguel Pais Clemente, André Moreira, Nádia Carvalho, Gilberto Bernardes, Afonso Pinhão Ferreira, José Amarante, Joaquim Mendes
Software Mentions: 1
Published: about 4 years ago

10.1121/10.0003434

Artificial intelligence enabled preliminary diagnosis for COVID-19 from voice cues and questionnaires
Cited by: 21
Author(s): Carmi Shimon, Gabi Shafat, Inbal Dangoor, Asher Ben-Shitrit
Software Mentions: 1
Published: almost 4 years ago