Talk:Audio Analytic

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Requested edit to add a new section on PSDS

The following Wikipedia contributor has declared a personal or professional connection to the subject of this article. Relevant policies and guidelines may include conflict of interest, autobiography, and neutral point of view.

Jftsang (talk · contribs) This user has declared a connection.

This edit request by an editor with a conflict of interest has now been answered.

Hello, please can you review the following additional text? It should go under a new subsection, Polyphonic sound detection score (PSDS).

Audio Analytic developed the Polyphonic Sound Detection Score (PSDS), a metric for evaluating the performance of sound recognition algorithms when applied to polyphonic sound recordings.^[1]^[2]^[3] They also released an accompanying software framework that implements the PSDS.^[4]

Please also:

Put this new subsection, together with ai3, under a section called Products.
Optionally, add an external link to the GitHub repository, [1], either in the 'External links' section or inline next to the words 'accompanying software framework'.

Explanation/references: This new text describes not-too-recent work that has acquired significance within the sound recognition community, having been used in one of the DCASE 2020 Challenges (see inline citations). I believe it therefore passes WP:Notability and WP:Original research.

COI disclosure: I am an employee of Audio Analytic. However, I am neither a paid editor; nor was I involved in, or do I personally benefit from, the development of PSDS.

Please let me know what you think. Happy to discuss this further. --jftsang 20:50, 4 August 2020 (UTC)[reply]

Done This request seems reasonable – it is neutrally-worded and as far as I can tell, it is supported by the sources cited. The rest of the article, however, will need some significant pruning. Best, Altamel (talk) 06:26, 6 August 2020 (UTC)[reply]

References

^ Bilen, Cagdas; Ferroni, Giacomo; Tuveri, Francesco; Azcarreta, Juan; Krstulovic, Sacha (May 2020). "A Framework for the Robust Evaluation of Sound Event Detection". ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): 61–65. doi:10.1109/ICASSP40776.2020.9052995.
^ DCase 2020 Challenges. "Sound event detection and separation in domestic environments - DCASE". dcase.community. Retrieved 4 August 2020.{{cite web}}: CS1 maint: numeric names: authors list (link)
^ Wisdom, Scott; Erdogan, Fonseca, Eduardo and Salamon, Justin and Seetharaman, Prem and Hershey, John R., Hakan; Ellis, Daniel P. W.; Serizel, Romain; Turpault, Nicolas; Fonseca, Eduardo; Salamon, Justin; Seetharaman, Prem; Hershey, John R. (2020). "What's All the FUSS About Free Universal Sound Separation Data?". in preparation.{{cite journal}}: CS1 maint: multiple names: authors list (link)
^ Audio Analytic (22 July 2020). "audioanalytic/psds_eval GitHub repository". GitHub. Audio Analytic. Retrieved 4 August 2020.

Request edit: additional citation for paragraph under 'Products'

The following Wikipedia contributor has declared a personal or professional connection to the subject of this article. Relevant policies and guidelines may include conflict of interest, autobiography, and neutral point of view.

Jftsang (talk · contribs) This user has declared a connection.

This edit request by an editor with a conflict of interest was declined. Some or all of the changes weren't supported by neutral, independent, reliable sources. Consider re-submitting with content based on media, books and scholarly works.

The first paragraph under 'Products', on ai3, is currently missing references. Please consider citing this talk, as it describes the product in detail, including the assertion that 'it is designed to run on-device and not in the cloud'. I know this is a primary source (as the speaker is an employee of the company), but it's better than nothing.

^[1]

COI disclosure: I am an employee of Audio Analytic. However, I am not a paid editor, and I am not the speaker. Thanks. --jftsang 17:46, 8 August 2020 (UTC)[reply]

References

^ Binks, Dominic. "tinyML Talks - Dr. Dominic Binks: tinyML doesn't need Big Data, it needs Great Data". Retrieved 8 August 2020.

[1] Bilen, Cagdas; Ferroni, Giacomo; Tuveri, Francesco; Azcarreta, Juan; Krstulovic, Sacha (May 2020). "A Framework for the Robust Evaluation of Sound Event Detection". ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): 61–65. doi:10.1109/ICASSP40776.2020.9052995.

[2] DCase 2020 Challenges. "Sound event detection and separation in domestic environments - DCASE". dcase.community. Retrieved 4 August 2020.{{cite web}}: CS1 maint: numeric names: authors list (link)

[3] Wisdom, Scott; Erdogan, Fonseca, Eduardo and Salamon, Justin and Seetharaman, Prem and Hershey, John R., Hakan; Ellis, Daniel P. W.; Serizel, Romain; Turpault, Nicolas; Fonseca, Eduardo; Salamon, Justin; Seetharaman, Prem; Hershey, John R. (2020). "What's All the FUSS About Free Universal Sound Separation Data?". in preparation.{{cite journal}}: CS1 maint: multiple names: authors list (link)

[4] Audio Analytic (22 July 2020). "audioanalytic/psds_eval GitHub repository". GitHub. Audio Analytic. Retrieved 4 August 2020.

[5] Binks, Dominic. "tinyML Talks - Dr. Dominic Binks: tinyML doesn't need Big Data, it needs Great Data". Retrieved 8 August 2020.

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