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pinage404.rss :nixos:As of today, my computer can __nicely__ read aloud for me !I'm lazy, i read slowly, so i don't like reading, i skip a lot of articlesI have been looking for a solution for several months<a href="https://mamot.fr/tags/Accessibility" class="mention hashtag" rel="nofollow noopener" target="_blank">#Accessibility</a> <a href="https://mamot.fr/tags/A11y" class="mention hashtag" rel="nofollow noopener" target="_blank">#A11y</a> <a href="https://mamot.fr/tags/Orca" class="mention hashtag" rel="nofollow noopener" target="_blank">#Orca</a> <a href="https://mamot.fr/tags/WebBrowser" class="mention hashtag" rel="nofollow noopener" target="_blank">#WebBrowser</a> <a href="https://mamot.fr/tags/ZenBrowser" class="mention hashtag" rel="nofollow noopener" target="_blank">#ZenBrowser</a> <a href="https://mamot.fr/tags/Firefox" class="mention hashtag" rel="nofollow noopener" target="_blank">#Firefox</a> <a href="https://mamot.fr/tags/Piper" class="mention hashtag" rel="nofollow noopener" target="_blank">#Piper</a> <a href="https://mamot.fr/tags/Pied" class="mention hashtag" rel="nofollow noopener" target="_blank">#Pied</a> <a href="https://mamot.fr/tags/SpeechAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#SpeechAI</a> <a href="https://mamot.fr/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> <a href="https://mamot.fr/tags/Nix" class="mention hashtag" rel="nofollow noopener" target="_blank">#Nix</a> <a href="https://mamot.fr/tags/NixOS" class="mention hashtag" rel="nofollow noopener" target="_blank">#NixOS</a>

Dirk Schnelle-WalkaSpeechAgents: Human-Communication Simulation with Multi-Modal Multi-Agent Systems. Multi-modal LLM system simulates human communication using speech and generates human-like dialogues with consistent content, rhythm, & emotion.Funnily, they also elaborate on a "think before you speak" design aspect. This might also be applicable to our everyday lives. doi: 10.48550/arXiv.2401.03945 <a href="https://mastodontech.de/tags/LLM" class="mention hashtag" rel="tag">#LLM</a> <a href="https://mastodontech.de/tags/multimodal" class="mention hashtag" rel="tag">#multimodal</a> <a href="https://mastodontech.de/tags/speechAI" class="mention hashtag" rel="tag">#speechAI</a> <a href="https://mastodontech.de/tags/multiagent" class="mention hashtag" rel="tag">#multiagent</a> <a href="https://mastodontech.de/tags/conversationalai" class="mention hashtag" rel="tag">#conversationalai</a>

Kathy ReidFor the past couple of years, as each new <a href="https://mozilla.social/@mozilla" class="u-url mention" rel="nofollow noopener" target="_blank">@mozilla</a> <a href="https://aus.social/tags/CommonVoice" class="mention hashtag" rel="nofollow noopener" target="_blank">#CommonVoice</a> dataset of <a href="https://aus.social/tags/voice" class="mention hashtag" rel="nofollow noopener" target="_blank">#voice</a> <a href="https://aus.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#data</a> is released, I've been using <a href="https://vis.social/@observablehq" class="u-url mention" rel="nofollow noopener" target="_blank">@observablehq</a> to visualise the <a href="https://aus.social/tags/metadata" class="mention hashtag" rel="nofollow noopener" target="_blank">#metadata</a> coverage across the 100+ languages in the dataset. Version 17 was released yesterday (big ups to the team - EM Lewis-Jong, <a href="https://mastodon.social/@jessie" class="u-url mention" rel="nofollow noopener" target="_blank">@jessie</a>, Gina Moape, Dmitrij Feller) and there's some super interesting insights from the visualisation: ➡ Catalan (ca) now has more data in Common Voice than English (en) (!)➡ The language with the highest average audio utterance duration at nearly 7 seconds is Icelandic (is). Perhaps Icelandic words are longer? I suspect so!➡ Spanish (es), Bangla (Bengali) (bn), Mandarin Chinese (zh-CN) and Japanese (ja) all have a lot of recorded utterances that have not yet been validated. Albanian (sq) has the highest percentage of validated utterances, followed closely by Erzya / Arisa (myv).➡ Votic (vot) has the highest percentage of invalidated utterances, but with 76% of utterances invalidated, I wonder if this language has been the target of deliberate invalidation activity (invalidating valid sentences, or recording sentences to be deliberately invalid) given the geopolitical instability in Russia currently. See the visualisation here and let me know your thoughts below!➡ <a href="https://observablehq.com/@kathyreid/mozilla-common-voice-v17-dataset-metadata-coverage" rel="nofollow noopener" translate="no" target="_blank">https://observablehq.com/@kathyreid/mozilla-common-voice-v17-dataset-metadata-coverage</a><a href="https://aus.social/tags/linguistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#linguistics</a> <a href="https://aus.social/tags/languages" class="mention hashtag" rel="nofollow noopener" target="_blank">#languages</a> <a href="https://aus.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#data</a> <a href="https://aus.social/tags/VoiceAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#VoiceAI</a> <a href="https://aus.social/tags/VoiceData" class="mention hashtag" rel="nofollow noopener" target="_blank">#VoiceData</a> <a href="https://aus.social/tags/SpeechAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#SpeechAI</a> <a href="https://aus.social/tags/SpeechData" class="mention hashtag" rel="nofollow noopener" target="_blank">#SpeechData</a> <a href="https://aus.social/tags/DataViz" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataViz</a>

Kathy ReidLast week, as part of my <a href="https://aus.social/tags/PhD" class="mention hashtag" rel="nofollow noopener" target="_blank">#PhD</a> program at the <a href="https://aus.social/tags/ANU" class="mention hashtag" rel="nofollow noopener" target="_blank">#ANU</a> School of <a href="https://aus.social/tags/cybernetics" class="mention hashtag" rel="nofollow noopener" target="_blank">#cybernetics</a>, I gave my final presentation, which is a summary of my methods and <a href="https://aus.social/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#research</a> findings. I covered my interview work, the <a href="https://aus.social/tags/dataset" class="mention hashtag" rel="nofollow noopener" target="_blank">#dataset</a> documentation analysis work I've been doing and my analysis work around <a href="https://aus.social/tags/accents" class="mention hashtag" rel="nofollow noopener" target="_blank">#accents</a> in <a href="https://mozilla.social/@mozilla" class="u-url mention" rel="nofollow noopener" target="_blank">@mozilla</a>'s <a href="https://aus.social/tags/CommonVoice" class="mention hashtag" rel="nofollow noopener" target="_blank">#CommonVoice</a> platform. There were some insightful and thought-provoking questions from my panel and audience members, and of course - so many ideas for future research inquiry! A huge thanks to my panel, chaired so well by Professor Alexandra Zafiroglu, to Dr Elizabeth Williams, my meticulous, methodical and always-encouraging Primary Supervisor, and to my co-supervisors Dr Jofish Kaye and Dr Paul Wong 黃仲熙 for their deep expertise in <a href="https://aus.social/tags/HCI" class="mention hashtag" rel="nofollow noopener" target="_blank">#HCI</a> and <a href="https://aus.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#data</a> respectively. Similarly, a huge thank you to my <a href="https://aus.social/tags/PhD" class="mention hashtag" rel="nofollow noopener" target="_blank">#PhD</a> cohort - Charlotte Bradley, Tom Chan, Danny Bettay and Sam Backwell - as well as the other cohorts in the School - for your encouragement and intellectual journeying. <a href="https://aus.social/tags/PhD" class="mention hashtag" rel="nofollow noopener" target="_blank">#PhD</a> <a href="https://aus.social/tags/PhDlife" class="mention hashtag" rel="nofollow noopener" target="_blank">#PhDlife</a> <a href="https://aus.social/tags/cybernetics" class="mention hashtag" rel="nofollow noopener" target="_blank">#cybernetics</a> <a href="https://aus.social/tags/milestone" class="mention hashtag" rel="nofollow noopener" target="_blank">#milestone</a> <a href="https://aus.social/tags/ANU" class="mention hashtag" rel="nofollow noopener" target="_blank">#ANU</a> <a href="https://aus.social/tags/voiceAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#voiceAI</a> <a href="https://aus.social/tags/speechAI" class="mention hashtag" rel="nofollow noopener" target="_blank">#speechAI</a> <a href="https://aus.social/tags/ASR" class="mention hashtag" rel="nofollow noopener" target="_blank">#ASR</a> <a href="https://aus.social/tags/SpeechRecognition" class="mention hashtag" rel="nofollow noopener" target="_blank">#SpeechRecognition</a>

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