Tootfinder

🌱🌱🌱🌱🌱🌱🌱🌱🌱🌱🌱🌱🌱
Die #Alpakas haben auf einer kleinen Anhöhe frische, leckere #Gräser entdeckt. Welches ist als Erstes da? 🤓 🤔 😃
Wählt einen Favoriten und BOSTEN! 😆
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#Rennen

I’d replace the “but” with “and.” Be newly concerned •and• remain oldly concerned.
Otherwise 100% agree with this. https://digipres.club/@misty/115589615528741114

Saints agree to 10-year extension to remain in New Orleans through 2035

https://www.cbssports.com/nfl/news/saints-agree-to-10-year-extension-to-remain-in-new-…

Captura de la (siempre interesante) newsletter del Paul Krugman:
Comparto completamente su reflexión, esto de la desigualdad se nos va de las manos. Mira, yo sé que es un poco PSOEizado decir esto, pero no me parece tan grave que haya algo de desigualdad; pues vale, hay gente con mas pasta que otros.
Pero UN YATE. DOS YATES. TRES YATES. Señor USTED NO NECESITA DOS YATES, NECESITA UN ABRAZO

Weil ich sie grade in der Hand hatte: Eine Alpha #G4M3R #Tastatur von #WorldSpawnsKeebs:

How I Built ASR for Endangered Languages with a Spoken Dictionary
Christopher Bartley, Anton Ragni
https://arxiv.org/abs/2510.04832 https://arxiv.org/pdf/2…

How I Built ASR for Endangered Languages with a Spoken Dictionary
Nearly half of the world's languages are endangered. Speech technologies such as Automatic Speech Recognition (ASR) are central to revival efforts, yet most languages remain unsupported because standard pipelines expect utterance-level supervised data. Speech data often exist for endangered languages but rarely match these formats. Manx Gaelic ($\sim$2,200 speakers), for example, has had transcribed speech since 1948, yet remains unsupported by modern systems. In this paper, we explore how litt…

BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music
Mingyang Yao, Ke Chen, Shlomo Dubnov, Taylor Berg-Kirkpatrick
https://arxiv.org/abs/2510.06528

BACHI: Boundary-Aware Symbolic Chord Recognition Through Masked Iterative Decoding on Pop and Classical Music
Automatic chord recognition (ACR) via deep learning models has gradually achieved promising recognition accuracy, yet two key challenges remain. First, prior work has primarily focused on audio-domain ACR, while symbolic music (e.g., score) ACR has received limited attention due to data scarcity. Second, existing methods still overlook strategies that are aligned with human music analytical practices. To address these challenges, we make two contributions: (1) we introduce POP909-CL, an enhance…

Heute vor 57 Jahren: Am 15. November 1968 zündeten die #USA im Rahmen von Operation Bowline die Atombombe "Auger". Bowline war eine Serie von #Kernwaffentests bei der 68/69 insgesamt 58 Bomben im Testgebiet in

Artificial Intelligence Virtual Cells: From Measurements to Decisions across Modality, Scale, Dynamics, and Evaluation
Chengpeng Hu, Calvin Yu-Chian Chen
https://arxiv.org/abs/2510.12498

Artificial Intelligence Virtual Cells: From Measurements to Decisions across Modality, Scale, Dynamics, and Evaluation
Artificial Intelligence Virtual Cells (AIVCs) aim to learn executable, decision-relevant models of cell state from multimodal, multiscale measurements. Recent studies have introduced single-cell and spatial foundation models, improved cross-modality alignment, scaled perturbation atlases, and explored pathway-level readouts. Nevertheless, although held-out validation is standard practice, evaluations remain predominantly within single datasets and settings; evidence indicates that transport acr…

Accent-Invariant Automatic Speech Recognition via Saliency-Driven Spectrogram Masking
Mohammad Hossein Sameti, Sepehr Harfi Moridani, Ali Zarean, Hossein Sameti
https://arxiv.org/abs/2510.09528

Accent-Invariant Automatic Speech Recognition via Saliency-Driven Spectrogram Masking
Pre-trained transformer-based models have significantly advanced automatic speech recognition (ASR), yet they remain sensitive to accent and dialectal variations, resulting in elevated word error rates (WER) in linguistically diverse languages such as English and Persian. To address this challenge, we propose an accent-invariant ASR framework that integrates accent and dialect classification into the recognition pipeline. Our approach involves training a spectrogram-based classifier to capture …