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@tiotasram@kolektiva.social
2026-07-12 16:28:07

Since it was relevant to a discussion I just had on here and is something most people probably haven't thought about much (unless you've taken one of a handful of philosophy classes), I thought I'd try to lay out a key piece of Descartes' Meditations (#philosophy

@thijs_lucas@norden.social
2026-05-13 06:26:10

Digital unterstützte Parkraumkontrolle: Von der Vorbereitung zum Regelbetrieb - #Scancars
von @…

Digital unterstützte Parkraumkontrolle: Von der Vorbereitung zum Regelbetrieb
Leitfaden für Länder und Kommunen

@Techmeme@techhub.social
2026-04-14 08:50:44

Sources: Amazon is in advanced talks to acquire satellite operator Globalstar in a deal that could be announced as soon as Tuesday; GSAT jumps 15% pre-market (Bloomberg)
bloomberg.com/news/articles/20

@leftsidestory@mstdn.social
2026-05-14 00:30:05

The Substance 🧪
某种物质 🧪
📷 Nikon F4E
🎞️ Harman Switch Azure (FF)
If you like my work, Support by buying me a coffee or a roll of film from PayPal paypal.com/paypalme/ydcdingsite

Harman Switch Azure (FF) English A street scene with an orange sky. A tall street lamp with blue lanterns hangs above. In the background, there is a brown road sign with white Chinese text that reads "广化大街" (Guanghua Avenue) and "广信南街" (Guangxin South Street). Behind the sign, there are modern high-rise buildings. 中文 街道景象，天空呈橙色。一盏高高的路灯上挂着蓝色灯笼。背景中有一个棕色道路标志，上面用白色中文写着“广化大街”（广化大街）和“广信南街”（广信南街）。标志后面是现代高层建筑。
Harman Switch Azure (FF) English A scene with a warm orange sky. In the foreground, there are bare trees and a tall street lamp. Behind the trees, there is a traditional Chinese building with gray brick walls and arched windows. Additional street lamps and power lines are visible in the background. 中文 天空呈现温暖的橙色。前景是光秃秃的树木和一盏高高的路灯。树木后面是一座传统中式建筑，灰色砖墙和拱形窗户。背景中还可以看到更多的路灯和电线。
Harman Switch Azure (FF) A bustling urban intersection with an orange sky. A white car is driving on the road, and several people are waiting at the crosswalk. Traffic lights and street lamps are visible. In the background, there are traditional Chinese buildings and leafless trees. 中文 繁忙的城市十字路口，天空呈橙色。一辆白色汽车行驶在道路上，几个人在人行横道处等待。可以看到交通灯和路灯。背景中有传统中式建筑和光秃秃的树木。
Harman Switch Azure (FF) English A close-up of a street lamp post with several purple lanterns hanging from it. The lanterns are round and appear to be made of paper. The background features bare tree branches and an orange sky, creating a warm, autumnal atmosphere. 中文 街灯杆的特写，上面挂着几盏紫色灯笼。灯笼是圆形的，看起来像是纸制的。背景是光秃秃的树枝和橙色的天空，营造出温暖的秋日氛围。
@arXiv_eessAS_bot@mastoxiv.page
2026-05-14 09:00:52

Replaced article(s) found for eess.AS. 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
arxiv.org/abs/2508.20474 mastoxiv.page/@arXiv_eessAS_bo
- CALM: Joint Contextual Acoustic-Linguistic Modeling for Personalization of Multi-Speaker ASR
Muhammad Shakeel, Yosuke Fukumoto, Chikara Maeda, Chyi-Jiunn Lin, Shinji Watanabe
arxiv.org/abs/2601.22792 mastoxiv.page/@arXiv_eessAS_bo
- How Much Does Machine Identity Matter in Anomalous Sound Detection at Test Time?
Kevin Wilkinghoff, Keisuke Imoto, Zheng-Hua Tan
arxiv.org/abs/2602.16253 mastoxiv.page/@arXiv_eessAS_bo
- LMU-Based Sequential Learning and Posterior Ensemble Fusion for Cross-Domain Infant Cry Classific...
Niloofar Jazaeri, Hilmi R. Dajani, Marco Janeczek, Martin Bouchard
arxiv.org/abs/2603.02245 mastoxiv.page/@arXiv_eessAS_bo
- Adapting a Text-to-Audio Model for Room Impulse Response Generation
Kirak Kim, Sungyoung Kim
arxiv.org/abs/2603.09708 mastoxiv.page/@arXiv_eessAS_bo
- 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
arxiv.org/abs/2411.15913 mastoxiv.page/@arXiv_csSD_bot/
- DeePen: Penetration Testing for Audio Deepfake Detection
M\"uller, Kawa, Stan, Doan, Jung, Choong, Sperl, B\"ottinger
arxiv.org/abs/2502.20427 mastoxiv.page/@arXiv_csCR_bot/
- Re-evaluating Minimum Bayes Risk Decoding for Automatic Speech Recognition
Yuu Jinnai
arxiv.org/abs/2510.19471 mastoxiv.page/@arXiv_csCL_bot/
- Aliasing-Free Neural Audio Synthesis
Yicheng Gu, Junan Zhang, Chaoren Wang, Jerry Li, Zhizheng Wu, Lauri Juvela
arxiv.org/abs/2512.20211 mastoxiv.page/@arXiv_csSD_bot/
- TiCo: Time-Controllable Spoken Dialogue Model
Kai-Wei Chang, Wei-Chih Chen, En-Pei Hu, Hung-yi Lee, James Glass
arxiv.org/abs/2603.22267 mastoxiv.page/@arXiv_csCL_bot/
toXiv_bot_toot

@sherold@mastodon.online
2026-05-12 11:55:13

I accidentally turned a love letter to a protocol into a love letter to honest, human connections. I thought you might like it. 🌻
#blog

Re: A Love Letter To RSS - Finest Day
Alvin shared this post on Mastodon and I couldn’t agree more with Brine, the author of this little love letter. You can read it here: Discover: A Love Letter To...

@ErikJonker@mastodon.social
2026-07-10 13:32:54

Interesting article in the Economist, don't necessarily agree,
…

Opinie | If you thought the global financial crisis was bad…
When the crash comes, stabilising markets will be easy compared with reordering society for AI, writes short-seller Carson Block.

@NFL@darktundra.xyz
2026-05-11 10:40:15

NFL Network: Chargers agree to terms with TE David Njoku nfl.com/news/nfl-network-charg

NFL Network: Chargers agree to terms with TE David Njoku
The Los Angeles Chargers added more depth to the offense, signing  veteran tight end David Njoku, who spent nine seasons in Cleveland. 

@NFL@darktundra.xyz
2026-05-11 12:41:29

Chargers agree to one-year deal with veteran tight end David Njoku, per report

cbssports.com/nfl/news/charger

Chargers agree to one-year deal with veteran tight end David Njoku, per report
The Chargers add a proven veteran tight end in an attempt to strengthen Justin Herbert's supporting 2026 cast

@arXiv_eessAS_bot@mastoxiv.page
2026-05-13 07:47:08

Too Good to Be True: A Study on Modern Automatic Speech Recognition for the Evaluation of Speech Enhancement
Danilo de Oliveira, Tal Peer, Timo Gerkmann
arxiv.org/abs/2605.12107 arxiv.org/pdf/2605.12107 arxiv.org/html/2605.12107
arXiv:2605.12107v1 Announce Type: new
Abstract: Speech enhancement (SE) systems are typically evaluated using a variety of instrumental metrics. The use of automatic speech recognition (ASR) systems to evaluate SE performance is common in literature, usually in terms of word error rate (WER). However, WER scores depend heavily on the choice of ASR system and text normalization pipeline. In this paper, we investigate how modern ASR models correlate with human recognition of enhanced speech. A listening experiment reveals that modern ASR models with large-scale noisy training and embedded language models correlate more with human WER than simpler ones, with a transducer model providing the most reliable transcriptions. Nevertheless, we also show that these models' robustness to noise and use of context can be uninformative to an acoustics-focused evaluation of enhancement performance.
toXiv_bot_toot