{ "id": 161787, "title": "Important Research Papers worth Mentioning", "url": "/competitions/birdsong-recognition/discussion/161787", "author_name": "", "post_date": "2020-06-26T07:05:00.827100200Z", "votes": 14, "comment_count": 1, "views": 0, "content": "
    \n
  1. Bird Call Identification using Dynamic Kernel based Support Vector Machines and Deep Neural Networks
    2. \n
  2. AUTOMATIC IDENTIFICATION OF BIRD CALLS USING SPECTRAL ENSEMBLE AVERAGE VOICE PRINTS
    3. \n
  3. Automatic birdsong recognition based on autoregressive time-delay neural networks
    4. \n
  4. Birdsong recognition with DSP and neural networks
    5. \n
  5. Template-based automatic recognition of birdsong syllables from continuous recordings
    6. \n
  6. An Introduction to Birdsong and the Avian Song System
    7. \n
  7. Behavioral neurobiology of birdsong
    8. \n
", "messages": [ { "id": "902470", "postDate": "06/26/2020 07:05:00", "content": "
    \n
  1. Bird Call Identification using Dynamic Kernel based Support Vector Machines and Deep Neural Networks
    2. \n
  2. AUTOMATIC IDENTIFICATION OF BIRD CALLS USING SPECTRAL ENSEMBLE AVERAGE VOICE PRINTS
    3. \n
  3. Automatic birdsong recognition based on autoregressive time-delay neural networks
    4. \n
  4. Birdsong recognition with DSP and neural networks
    5. \n
  5. Template-based automatic recognition of birdsong syllables from continuous recordings
    6. \n
  6. An Introduction to Birdsong and the Avian Song System
    7. \n
  7. Behavioral neurobiology of birdsong
    8. \n
", "rawMarkdown": "1. [Bird Call Identification using Dynamic Kernel based Support Vector Machines and Deep Neural Networks](https://deepc94.github.io/assets/pdf/chakraborty2016bird.pdf)\n2. [AUTOMATIC IDENTIFICATION OF BIRD CALLS USING SPECTRAL ENSEMBLE AVERAGE VOICE PRINTS](https://www.eurasip.org/Proceedings/Eusipco/Eusipco2006/papers/1568980494.pdf)\n3. [Automatic birdsong recognition based on autoregressive time-delay neural networks](https://ieeexplore.ieee.org/abstract/document/1662316)\n4. [Birdsong recognition with DSP and neural networks](https://ieeexplore.ieee.org/abstract/document/494065)\n5. [Template-based automatic recognition of birdsong syllables from continuous recordings](https://d1wqtxts1xzle7.cloudfront.net/45804589/1.41596820160520-4493-nok1a.pdf?1463751031=&response-content-disposition=inline%3B+filename%3DTemplate-based_automatic_recognition_of.pdf&Expires=1593158464&Signature=gYN5Ovf9lS4VtepvNvPPyksAAk6vWrBLCCC0pAZC~FUyD0FsBbHcDir56HajgAzgFb6pwXFLfO6J6VrtmOgBZRVUYkroO4qIwkB0ESjgG65gyUBusIDhxncWBRhs8cXE4pFLBzFq54XQEon~DRRZ5VFO02zpxLnyWevmJVcurncnE~MDe7N3iBlh0ttoXywZFXYeGpNFZd5d1tIIdYxHVBhOFmAkroZUsvC2t1EYNXQK29UVzecv0dSphMRKuP3iIEYYqk1B5LaJ-2ufku972W9Rad4oRZQ8DfiQRGA9QZ7ePfVBXLywSH9Sbiad2oZZ3WL5CtyTdobS89FoJmQ0tg__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA)\n6. [An Introduction to Birdsong and the Avian Song System](https://web.njit.edu/~efortune/n2014/data/BrenowitzIntroduction1997.pdf)\n7. [Behavioral neurobiology of birdsong](https://psycnet.apa.org/record/2004-16790-000)", "votes": null }, { "id": "968526", "postDate": "08/13/2020 04:55:34", "content": "

Thanks for sharing sir.

", "rawMarkdown": "Thanks for sharing sir.", "votes": null } ], "comments": [ { "id": 968526, "author_name": "palaksood97", "author_url": "", "post_date": "08/13/2020 04:55:34", "content": "

Thanks for sharing sir.

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "902470": "1. [Bird Call Identification using Dynamic Kernel based Support Vector Machines and Deep Neural Networks](https://deepc94.github.io/assets/pdf/chakraborty2016bird.pdf)\n2. [AUTOMATIC IDENTIFICATION OF BIRD CALLS USING SPECTRAL ENSEMBLE AVERAGE VOICE PRINTS](https://www.eurasip.org/Proceedings/Eusipco/Eusipco2006/papers/1568980494.pdf)\n3. [Automatic birdsong recognition based on autoregressive time-delay neural networks](https://ieeexplore.ieee.org/abstract/document/1662316)\n4. [Birdsong recognition with DSP and neural networks](https://ieeexplore.ieee.org/abstract/document/494065)\n5. [Template-based automatic recognition of birdsong syllables from continuous recordings](https://d1wqtxts1xzle7.cloudfront.net/45804589/1.41596820160520-4493-nok1a.pdf?1463751031=&response-content-disposition=inline%3B+filename%3DTemplate-based_automatic_recognition_of.pdf&Expires=1593158464&Signature=gYN5Ovf9lS4VtepvNvPPyksAAk6vWrBLCCC0pAZC~FUyD0FsBbHcDir56HajgAzgFb6pwXFLfO6J6VrtmOgBZRVUYkroO4qIwkB0ESjgG65gyUBusIDhxncWBRhs8cXE4pFLBzFq54XQEon~DRRZ5VFO02zpxLnyWevmJVcurncnE~MDe7N3iBlh0ttoXywZFXYeGpNFZd5d1tIIdYxHVBhOFmAkroZUsvC2t1EYNXQK29UVzecv0dSphMRKuP3iIEYYqk1B5LaJ-2ufku972W9Rad4oRZQ8DfiQRGA9QZ7ePfVBXLywSH9Sbiad2oZZ3WL5CtyTdobS89FoJmQ0tg__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA)\n6. [An Introduction to Birdsong and the Avian Song System](https://web.njit.edu/~efortune/n2014/data/BrenowitzIntroduction1997.pdf)\n7. [Behavioral neurobiology of birdsong](https://psycnet.apa.org/record/2004-16790-000)", "968526": "Thanks for sharing sir." }, "source": "meta" }