Tootfinder

Replaced article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new
[1/1]:
- Unifying Diarization, Separation, and ASR with Multi-Speaker Encoder
Muhammad Shakeel, Yui Sudo, Yifan Peng, Chyi-Jiunn Lin, Shinji Watanabe
https://arxiv.org/abs/2508.20474 https://mastoxiv.page/@arXiv_eessAS_bot/115110974009150613
- CALM: Joint Contextual Acoustic-Linguistic Modeling for Personalization of Multi-Speaker ASR
Muhammad Shakeel, Yosuke Fukumoto, Chikara Maeda, Chyi-Jiunn Lin, Shinji Watanabe
https://arxiv.org/abs/2601.22792 https://mastoxiv.page/@arXiv_eessAS_bot/116000207024295325
- How Much Does Machine Identity Matter in Anomalous Sound Detection at Test Time?
Kevin Wilkinghoff, Keisuke Imoto, Zheng-Hua Tan
https://arxiv.org/abs/2602.16253 https://mastoxiv.page/@arXiv_eessAS_bot/116096185732811365
- LMU-Based Sequential Learning and Posterior Ensemble Fusion for Cross-Domain Infant Cry Classific...
Niloofar Jazaeri, Hilmi R. Dajani, Marco Janeczek, Martin Bouchard
https://arxiv.org/abs/2603.02245 https://mastoxiv.page/@arXiv_eessAS_bot/116169771215037748
- Adapting a Text-to-Audio Model for Room Impulse Response Generation
Kirak Kim, Sungyoung Kim
https://arxiv.org/abs/2603.09708 https://mastoxiv.page/@arXiv_eessAS_bot/116209762413602825
- Repurposing Image Diffusion Models for Training-Free Music Style Transfer on Mel-spectrograms
Heehwan Wang, Joonwoo Kwon, Sooyoung Kim, Jungwoo Seo, Shinjae Yoo, Yuewei Lin, Jiook Cha
https://arxiv.org/abs/2411.15913 https://mastoxiv.page/@arXiv_csSD_bot/113548024475383386
- DeePen: Penetration Testing for Audio Deepfake Detection
M\"uller, Kawa, Stan, Doan, Jung, Choong, Sperl, B\"ottinger
https://arxiv.org/abs/2502.20427 https://mastoxiv.page/@arXiv_csCR_bot/114097333876265997
- Re-evaluating Minimum Bayes Risk Decoding for Automatic Speech Recognition
Yuu Jinnai
https://arxiv.org/abs/2510.19471 https://mastoxiv.page/@arXiv_csCL_bot/115422969877240889
- Aliasing-Free Neural Audio Synthesis
Yicheng Gu, Junan Zhang, Chaoren Wang, Jerry Li, Zhizheng Wu, Lauri Juvela
https://arxiv.org/abs/2512.20211 https://mastoxiv.page/@arXiv_csSD_bot/115773521971327576
- TiCo: Time-Controllable Spoken Dialogue Model
Kai-Wei Chang, Wei-Chih Chen, En-Pei Hu, Hung-yi Lee, James Glass
https://arxiv.org/abs/2603.22267 https://mastoxiv.page/@arXiv_csCL_bot/116283643505371784
toXiv_bot_toot

Doc and sources: Google is testing an agent in the Gemini app, internally named Remy, that can integrate with Google services to take actions on a user's behalf (Hugh Langley/Business Insider)
https://www.businessinsider.com/google-ai-agent-openclaw-…

Google is building an AI agent that could be its answer to OpenClaw
Employees are testing a new "24/7 personal agent" internally called "Remy" that can integrate across Google's other services.

🔌 Ecosystem & tooling: provider-native tools (web search, code interpreter, file search), MCP via the Laravel MCP package, runtime provider/model/voice discovery, API key validation, provider-call observability with correlation IDs, and per-modality testing fakes.
🌐 7 first-class providers (OpenAI, Anthropic, Google, xAI, ElevenLabs, Cohere, Jina) plus any OpenAI-compatible endpoint — Ollama, OpenRouter, DeepSeek, Groq, Mistral, Perplexity & more. MIT licensed, Laravel 11 .

The SMC Blind Spot: A Failure Mode Analysis of State-of-the-Art Beat Tracking
Jaehoon Ahn, Tae Gum Hwang, Moon-Ryul Jung
https://arxiv.org/abs/2605.12287 https://arxiv.org/pdf/2605.12287 https://arxiv.org/html/2605.12287
arXiv:2605.12287v1 Announce Type: new
Abstract: Over the past two decades, the task of musical beat tracking has transitioned from heuristic onset detection algorithms to highly capable deep neural networks (DNN). Although DNN-based beat tracking models achieve near-perfect performance on mainstream, percussive datasets, the SMC dataset has stubbornly yielded low F-measure scores. By testing how well state-of-the-art models detect beats on individual tracks in the SMC dataset, we identify three distinct failure modes: octave errors, continuity errors, and complete tracking failure where all metrics fall below 0.3. We reveal that state-of-the-art models tend to generate "confident-but-wrong" activations. Furthermore, we show that the standard DBN's default minimum tempo of 55 BPM prevents it from inferring the correct tempo for 21\% of SMC tracks, forcing double-tempo predictions on slow music. By exposing such fundamental oversights, we provide concrete directions for improving beat and downbeat detection, specifically emphasizing training data diversification and multi-hypothesis tempo estimation.
toXiv_bot_toot

California AG Rob Bonta sues 23andMe, alleging it failed to protect sensitive user data in a 2023 breach that affected ~7M people across the US (Jaimie Ding/Associated Press)
https://apnews.com/article/23andme-lawsuit-data-breach-geneti…

California attorney general sues 23andMe over user data breach
California’s attorney general is suing the genetic testing company formerly known as 23andMe, alleging it failed to protect sensitive user data in a 2023 breach that affected nearly 7 million people across the country. Attorney General Rob Bonta filed the lawsuit Thursday against Chrome Holding Co., which 23andMe rebranded under after filing for bankruptcy last March. The company has acknowledged that it suffered a major security breach in 2023. Bonta's office said the company failed to imple…

Testing #Musescore 4.7 beta video (mp4) export. Yeah, is a horror story and the music is dark. I always make "happy" music.
https://www.youtube.com/watch?v=GOhuiSaEj5c

Yeah, 8,000 layoffs & 7,000 internal transfers tend to piss people off.
✅ Meta AI Reshuffle Sparks Employee Morale Revolt
https://winbuzzer.com/2026/06/21/meta-ai-reshuffle-sparks-reported-employee-morale-revolt-xcxwbn/

Meta AI Reshuffle Sparks Employee Morale Revolt
Meta's AI reorganization has reportedly deepened morale problems after 8,000 layoffs and 7,000 internal transfers, testing control over AI-support work.

Meta rolls out Plus plans for Instagram, Facebook, and WhatsApp globally, will test $7.99/mo. and $19.99/mo. Meta AI plans, a $49.99/mo. creator plan, and more (Sarah Perez/TechCrunch)
https://techcrunch.com/2026/05/27/meta

Meta launches Instagram, Facebook, and WhatsApp subscriptions, with more to come, including AI plans | TechCrunch
Meta is rolling out paid subscription plans for Instagram, Facebook, and WhatsApp worldwide, while also testing new AI, creator, and business-focused offerings under its broader “Meta One” subscription brand.

Meta rolls out Plus plans for Instagram, Facebook, and WhatsApp globally, will test $7.99/mo. and $19.99/mo. Meta AI plans, a $49.99/mo. creator plan, and more (Sarah Perez/TechCrunch)
https://techcrunch.com/2026/05/27/meta

Meta launches Instagram, Facebook, and WhatsApp subscriptions, with more to come, including AI plans | TechCrunch
Meta is rolling out paid subscription plans for Instagram, Facebook, and WhatsApp worldwide, while also testing new AI, creator, and business-focused offerings under its broader “Meta One” subscription brand.

Sources: OpenAI generated about $5.7B in revenue in Q1, nearly $1B more than Anthropic (Sri Muppidi/The Information)
https://www.theinformation.com/articles/openai-held-1-billion-revenue-lead-anthropic-first-quarter

OpenAI Held $1 Billion Revenue Lead Over Anthropic in First Quarter
OpenAI generated about $5.7 billion in revenue in the first quarter, nearly $1 billion more than archrival Anthropic generated in the same period, according to two people with knowledge of the financials. OpenAI’s coding agent Codex, along with growth from selling to businesses and testing ads ...