<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
  xmlns:atom="http://www.w3.org/2005/Atom"
  xmlns:dc="http://purl.org/dc/elements/1.1/"
  xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title><![CDATA[StreamingMeme — Speechmatics coverage]]></title>
    <link>https://www.streamingmeme.com</link>
    <description><![CDATA[Articles mentioning Speechmatics.]]></description>
    <language>en-us</language>
    <ttl>60</ttl>
    <lastBuildDate>Mon, 07 Sep 2026 00:00:00 GMT</lastBuildDate>
    <copyright>StreamingMeme</copyright>
    <atom:link href="https://www.streamingmeme.com/client/speechmatics/feed.xml" rel="self" type="application/rss+xml"/>
    <image>
      <url>https://www.streamingmeme.com/streamingmeme_logo_main.svg</url>
      <title><![CDATA[StreamingMeme — Speechmatics coverage]]></title>
      <link>https://www.streamingmeme.com</link>
    </image>
    
    <item>
      <title><![CDATA[Thirty-three UK media technology companies to exhibit at IBC2026]]></title>
      <link><![CDATA[https://radioinfo.com.au/audioinfo/uk-exhibitors-at-ibc2026/]]></link>
      <guid isPermaLink="false">eb6f8b1d-5188-408f-adf2-6a6771b91847</guid>
      <pubDate>Mon, 07 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[PRODUCTION_HARDWARE]]></category>
      <description><![CDATA[Thirty-three UK-based media technology companies are set to exhibit at IBC2026 in Amsterdam, showcasing a range of infrastructure, AI, and playout solutions. The delegation includes vendors such as RioVIDEO, Speechmatics, and Yospace, highlighting the UK's role in the global broadcast and streaming supply chain.]]></description>
      <content:encoded><![CDATA[Thirty-three UK-based media technology companies are set to exhibit at IBC2026 in Amsterdam, showcasing a range of infrastructure, AI, and playout solutions. The delegation includes vendors such as RioVIDEO, Speechmatics, and Yospace, highlighting the UK's role in the global broadcast and streaming supply chain.]]></content:encoded>
      <dc:creator><![CDATA[Radio Info]]></dc:creator>
      <author><![CDATA[Radio Info]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/eb6f8b1d-5188-408f-adf2-6a6771b91847.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Speechmatics Melia 1 outperforms Amazon and AssemblyAI in code-switching accuracy]]></title>
      <link><![CDATA[https://www.speechmatics.com/company/articles-and-news/melia-code-switching-arabic-mandarin-tamil]]></link>
      <guid isPermaLink="false">06262c64-97e0-4290-8eb1-a4c1f45eb291</guid>
      <pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Speechmatics has updated its Melia 1 multilingual speech-to-text model to improve code-switching accuracy for Arabic, Mandarin, and Tamil. The company claims the model achieves a 15.1% mixed error rate on Arabic-English code-switching and provides faster batch processing speeds.]]></description>
      <content:encoded><![CDATA[Speechmatics has updated its Melia 1 multilingual speech-to-text model to improve code-switching accuracy for Arabic, Mandarin, and Tamil. The company claims the model achieves a 15.1% mixed error rate on Arabic-English code-switching and provides faster batch processing speeds.]]></content:encoded>
      <dc:creator><![CDATA[Speechmatics]]></dc:creator>
      <author><![CDATA[Speechmatics]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/06262c64-97e0-4290-8eb1-a4c1f45eb291.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Speechmatics integrates Linden STT model into LiveKit Inference platform]]></title>
      <link><![CDATA[https://www.speechmatics.com/company/articles-and-news/speechmatics-linden-livekit-inference]]></link>
      <guid isPermaLink="false">9000600a-a722-4069-972c-830866b894b5</guid>
      <pubDate>Thu, 27 Aug 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Speechmatics has integrated its Linden speech-to-text model into the LiveKit Inference platform, allowing developers to access the model without separate API keys or billing. The integration aims to improve transcription accuracy for voice agents in noisy, multi-speaker, and non-native language environments.]]></description>
      <content:encoded><![CDATA[Speechmatics has integrated its Linden speech-to-text model into the LiveKit Inference platform, allowing developers to access the model without separate API keys or billing. The integration aims to improve transcription accuracy for voice agents in noisy, multi-speaker, and non-native language environments.]]></content:encoded>
      <dc:creator><![CDATA[Speechmatics]]></dc:creator>
      <author><![CDATA[Speechmatics]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/9000600a-a722-4069-972c-830866b894b5.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Speechmatics outpaces OpenAI's Whisper in Adobe Premiere Pro performance]]></title>
      <link><![CDATA[https://www.speechmatics.com/company/articles-and-news/speechmatics-versus-whisper-how-adobe-premieres-on-device-speech-engine-got-rebuilt]]></link>
      <guid isPermaLink="false">5a62024d-7f2c-49a1-8013-a458b73daa16</guid>
      <pubDate>Tue, 23 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Speechmatics details the engineering process behind updating its speech-to-text engine for Adobe Premiere to maintain competitive performance against OpenAI's Whisper model on consumer hardware. The article focuses on technical techniques like quantization, custom model optimization scripts, and GPU acceleration to manage resource constraints on personal computers.]]></description>
      <content:encoded><![CDATA[Speechmatics details the engineering process behind updating its speech-to-text engine for Adobe Premiere to maintain competitive performance against OpenAI's Whisper model on consumer hardware. The article focuses on technical techniques like quantization, custom model optimization scripts, and GPU acceleration to manage resource constraints on personal computers.]]></content:encoded>
      <dc:creator><![CDATA[Speechmatics]]></dc:creator>
      <author><![CDATA[Speechmatics]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/5a62024d-7f2c-49a1-8013-a458b73daa16.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Speechmatics launches Melia speech-to-text model to lead in multilingual code-switching]]></title>
      <link><![CDATA[https://www.speechmatics.com/company/articles-and-news/introducing-melia-multilingual-speech-to-text-model]]></link>
      <guid isPermaLink="false">b09db43e-870b-43f5-b798-856823c06ef9</guid>
      <pubDate>Wed, 17 Jun 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Speechmatics has launched Melia, a new multilingual speech-to-text model capable of handling code-switching across 56+ languages. The model is available in production preview via batch processing and is positioned as a cost-effective solution for contact center analytics and broadcast captioning.]]></description>
      <content:encoded><![CDATA[Speechmatics has launched Melia, a new multilingual speech-to-text model capable of handling code-switching across 56+ languages. The model is available in production preview via batch processing and is positioned as a cost-effective solution for contact center analytics and broadcast captioning.]]></content:encoded>
      <dc:creator><![CDATA[Speechmatics]]></dc:creator>
      <author><![CDATA[Speechmatics]]></author>
      <enclosure url="https://cfvnzurrxjvihtctgdku.supabase.co/storage/v1/object/public/article_thumbnails/b09db43e-870b-43f5-b798-856823c06ef9.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Adobe and Speechmatics deliver cloud-grade speech recognition on-device for Premiere]]></title>
      <link><![CDATA[https://www.speechmatics.com/company/articles-and-news/adobe-and-speechmatics-deliver-cloud-grade-speech-recognition-on-device-for-premiere]]></link>
      <guid isPermaLink="false">d61e8890-c368-47dc-b067-c8da2bd30c09</guid>
      <pubDate>Tue, 21 Apr 2026 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Speechmatics and Adobe have collaborated to introduce cloud-grade speech recognition directly on-device within Adobe Premiere. This new feature enables private, offline, and accurate speech-to-text capabilities for professional creators using Premiere.]]></description>
      <content:encoded><![CDATA[Speechmatics and Adobe have collaborated to introduce cloud-grade speech recognition directly on-device within Adobe Premiere. This new feature enables private, offline, and accurate speech-to-text capabilities for professional creators using Premiere.]]></content:encoded>
      <dc:creator><![CDATA[Speechmatics]]></dc:creator>
      <author><![CDATA[Speechmatics]]></author>
      <enclosure url="https://images.ctfassets.net/yze1aysi0225/4HZhn2tITJfLKlnwoOgSGi/fb5cce8bcd7fc61ba7df90e19f22b2f9/Jade-social-sharing.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Introducing real-time, speaker-aware Voice Agents with LiveKit + Speechmatics]]></title>
      <link><![CDATA[https://www.speechmatics.com/company/articles-and-news/build-ai-agents-that-understand-who-said-what-livekit]]></link>
      <guid isPermaLink="false">e829dd43-600b-41bf-8ebb-e24d29b1e0e3</guid>
      <pubDate>Tue, 02 Sep 2025 00:00:00 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Speechmatics announced new real-time, speaker-aware Voice Agents developed in partnership with LiveKit. The integration aims to enhance the accuracy of AI agents by 25% in real time, supporting natural, inclusive, and reliable speech AI. This collaboration focuses on enabling AI agents to understand speaker identity.]]></description>
      <content:encoded><![CDATA[Speechmatics announced new real-time, speaker-aware Voice Agents developed in partnership with LiveKit. The integration aims to enhance the accuracy of AI agents by 25% in real time, supporting natural, inclusive, and reliable speech AI. This collaboration focuses on enabling AI agents to understand speaker identity.]]></content:encoded>
      <dc:creator><![CDATA[Speechmatics]]></dc:creator>
      <author><![CDATA[Speechmatics]]></author>
      <enclosure url="https://images.ctfassets.net/yze1aysi0225/1HzgqIwEsLVI4ixCJjGUlM/53cbc5143163befac2562aa68d73522c/LiveKit-blog-assets-Social-sharing.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Speech-to-Text Developers Detail Architectural Approaches for Enterprise Accuracy]]></title>
      <link><![CDATA[https://podcast.convoai.world/episode/speech-to-text-masterclass-the-tech-behind-the-modern-voice-pipeline]]></link>
      <guid isPermaLink="false">67775b28-9a16-439c-8bc5-c12f236913d8</guid>
      <pubDate>Wed, 03 Jun 2026 02:55:17 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Researchers from Agora, Deepgram, and Speechmatics discussed the technical requirements of modern voice pipelines in a podcast, emphasizing modular cascading architectures for enterprise reliability. The conversation highlighted Voice Activity Detection, phonetic control, and self-supervised learning as critical for achieving accuracy across 60+ languages and addressing real-world audio pathologies. Guests challenged the notion that speech recognition is a solved problem, pointing to challenges with accents, rare words, and noisy conditions.]]></description>
      <content:encoded><![CDATA[Researchers from Agora, Deepgram, and Speechmatics discussed the technical requirements of modern voice pipelines in a podcast, emphasizing modular cascading architectures for enterprise reliability. The conversation highlighted Voice Activity Detection, phonetic control, and self-supervised learning as critical for achieving accuracy across 60+ languages and addressing real-world audio pathologies. Guests challenged the notion that speech recognition is a solved problem, pointing to challenges with accents, rare words, and noisy conditions.]]></content:encoded>
      <dc:creator><![CDATA[Convo AI World]]></dc:creator>
      <author><![CDATA[Convo AI World]]></author>
      <enclosure url="https://podcast.convoai.world/episodes/ep_027_convo-ai-world-podcast_thumbnail-sq.jpg" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[NCI's Case Study | Revolutionizing real-time captioning]]></title>
      <link><![CDATA[https://www.speechmatics.com/product/case-studies/nci]]></link>
      <guid isPermaLink="false">9ca88987-40fc-483d-b91a-65b9523874ae</guid>
      <pubDate>Fri, 29 May 2026 04:27:16 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[NCI has implemented Speechmatics' advanced speech recognition technology to enhance its real-time captioning services. The partnership aimed to revolutionize captioning by addressing existing challenges and improving efficiency. The article highlights the solutions implemented and the positive outcomes of this collaboration between the two companies.]]></description>
      <content:encoded><![CDATA[NCI has implemented Speechmatics' advanced speech recognition technology to enhance its real-time captioning services. The partnership aimed to revolutionize captioning by addressing existing challenges and improving efficiency. The article highlights the solutions implemented and the positive outcomes of this collaboration between the two companies.]]></content:encoded>
      <dc:creator><![CDATA[Speechmatics]]></dc:creator>
      <author><![CDATA[Speechmatics]]></author>
      <enclosure url="https://images.ctfassets.net/yze1aysi0225/7GMYlZG5iNJLqK8F9WpXeV/2939bb2815938962204e2cefa5237c29/NCI-Social_1200x630.png" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Media Track Enhances Global Media Monitoring with Speechmatics’ Accurate Speech-to-Text Technology]]></title>
      <link><![CDATA[https://www.speechmatics.com/product/case-studies/media-track-enhances-global-media-monitoring-with-speechmatics]]></link>
      <guid isPermaLink="false">a660c67e-5eed-4d02-8432-b6aa1ef4af11</guid>
      <pubDate>Fri, 29 May 2026 04:27:08 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[Media Track, a global media monitoring company, has enhanced its broadcast and print transcription accuracy and scalability by integrating Speechmatics' real-time speech-to-text technology. This partnership allows Media Track to improve its global media monitoring capabilities.]]></description>
      <content:encoded><![CDATA[Media Track, a global media monitoring company, has enhanced its broadcast and print transcription accuracy and scalability by integrating Speechmatics' real-time speech-to-text technology. This partnership allows Media Track to improve its global media monitoring capabilities.]]></content:encoded>
      <dc:creator><![CDATA[Speechmatics]]></dc:creator>
      <author><![CDATA[Speechmatics]]></author>
      <enclosure url="https://images.ctfassets.net/yze1aysi0225/2qNrVfLY4lxLGUoGbsFTSr/744ca7156d526e1cb84cce0b5c0c9cb8/Media_track_case_study-1200x630_logoSM.webp" type="image/jpeg" length="0"/>
    </item>

    <item>
      <title><![CDATA[Transforming Live Captioning: How AI-Media Are Advancing Real-Time Captioning]]></title>
      <link><![CDATA[https://www.speechmatics.com/product/case-studies/transforming-live-captioning-how-ai-media-are-advancing-real-time]]></link>
      <guid isPermaLink="false">4306aae6-4c52-4ca8-af47-b364216003d7</guid>
      <pubDate>Fri, 29 May 2026 04:26:57 GMT</pubDate>
      <category><![CDATA[ARTIFICIAL_INTELLIGENCE_FOR_VIDEO_APPLICATIONS]]></category>
      <description><![CDATA[AI-Media is enhancing its live captioning capabilities by integrating Speechmatics' advanced transcription engine. This collaboration aims to deliver accurate, scalable, and multilingual real-time captions for global media and educational content.]]></description>
      <content:encoded><![CDATA[AI-Media is enhancing its live captioning capabilities by integrating Speechmatics' advanced transcription engine. This collaboration aims to deliver accurate, scalable, and multilingual real-time captions for global media and educational content.]]></content:encoded>
      <dc:creator><![CDATA[Speechmatics]]></dc:creator>
      <author><![CDATA[Speechmatics]]></author>
      <enclosure url="https://images.ctfassets.net/yze1aysi0225/58qHc90YCcGBQEda0ztlkS/456fd4808ec9aca4794843a734ea6798/AI-Media-Case-study--assets-v1Social-sharing.png" type="image/jpeg" length="0"/>
    </item>
  </channel>
</rss>