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! [[SoX]]
| for manipulating audio files and removing environmental noise.<ref>SoX.
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! [[Natural Language Toolkit]]
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==Applications==
Voice computing applications span many industries including voice assistants, healthcare, e-Commerce, finance, supply chain, agriculture, text-to-speech, security, marketing, customer support, recruiting, cloud computing, microphones, speakers, and podcasting. Voice technology is projected to grow at a CAGR of 19-25% by 2025, making it an attractive industry for startups and investors alike.<ref>{{Cite news |title=Global Speech and Voice Recognition Market 2018 Forecast to 2025 - CAGR Expected to Grow at 25.7% - ResearchAndMarkets.com |url=https://www.businesswire.com/news/home/20180417006122/en/Global-Speech-Voice-Recognition-Market-2018-Forecast |archive-url=
==Legal considerations==
In the United States, the states have varying [[telephone call recording laws]]. In some states, it is legal to record a conversation with the consent of only one party, in others the consent of all parties is required.
Moreover, [[COPPA]] is a significant law to protect minors using the Internet. With an increasing number of minors interacting with voice computing devices (e.g. the Amazon Alexa), on October 23, 2017 the [[Federal Trade Commission]] relaxed the COPAA rule so that children can issue voice searches and commands.<ref>
Lastly, [[GDPR]] is a new European law that governs the [[right to be forgotten]] and many other clauses for EU citizens. GDPR also is clear that companies need to outline clear measures to obtain consent if audio recordings are made and define the purpose and scope as to how these recordings will be used, e.g., for training purposes. The bar for valid consent has been raised under the GDPR. Consents must be freely given, specific, informed, and unambiguous; tacit consent is no longer sufficient.<ref>IAPP. https://iapp.org/news/a/how-do-the-rules-on-audio-recording-change-under-the-gdpr/</ref>
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* [[International Conference on Acoustics, Speech, and Signal Processing]]
* Interspeech <ref>Interspeech 2018. http://interspeech2018.org/</ref>
* AVEC <ref>{{Cite web |title=14th International Symposium on Advanced Vehicle Control - Speakers, Sessions, Agenda |url=https://www.eventyco.com/event/14th-international-symposium-on-advanced-vehicle-control |access-date=2025-01-10 |website=www.eventyco.com}}</ref>
* IEEE Int'l Conf. on Automatic Face and Gesture Recognition <ref>2018 FG. https://fg2018.cse.sc.edu/ {{Webarchive|url=https://web.archive.org/web/20180511185841/https://fg2018.cse.sc.edu/ |date=2018-05-11 }}</ref>
* ACII2019 The 8th Int'l Conf. on Affective Computing and Intelligent Interaction <ref>ASCII 2019. http://acii-conf.org/2019/</ref>
==Developer community==
Google Assistant has roughly 2,000 actions as of January 2018.<ref>
There are over 50,000 Alexa skills worldwide as of September 2018.<ref>
In June 2017, [[Google]] released AudioSet,<ref>Google AudioSet. https://research.google.com/audioset/</ref> a large-scale collection of human-labeled 10-second sound clips drawn from YouTube videos. It contains 1,010,480 videos of human speech files, or 2,793.5 hours in total.<ref>
In November 2017, [[Mozilla Foundation]] released the Common Voice Project, a collection of speech files to help contribute to the larger open source machine learning community.<ref>Common Voice Project. https://voice.mozilla.org/ {{Webarchive|url=https://web.archive.org/web/20200227020208/https://voice.mozilla.org/ |date=2020-02-27 }}</ref><ref>
==See also==
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