![]() ![]() A successful exploit could allow the attacker to execute arbitrary code with root privileges on an affected device.Ĭisco has released software updates that address this vulnerability. An attacker could exploit this vulnerability by sending a crafted request through the web-based user interface. This vulnerability is due to improper validation of requests that are sent to the web interface. ![]() In addition, a software release that is affected by one of the vulnerabilities may not be affected by the other vulnerabilities.ĭetails about the vulnerabilities are as follows:ĬVE-2023-20159: Cisco Small Business Series Switches Stack Buffer Overflow VulnerabilityĪ vulnerability in the web-based user interface of Cisco Small Business Series Switches could allow an unauthenticated, remote attacker to execute arbitrary code on an affected device. Exploitation of one of the vulnerabilities is not required to exploit another vulnerability. The Zerospeech Challenge, in some cases beating the previous state-of-the-art.The vulnerabilities are not dependent on one another. Zero-shot generalization for a word segmentation task on 4 other languages from Finally, we show that the same model is capable of Language it was trained on (English), but also generalizes in a zero-shotįashion to Estonian. Not only outperforms a state-of-the-art syllabic segmentation method on the We propose the use of a minimum cut algorithm toĪutomatically predict syllable boundaries in speech, followed by a 2-stageĬlustering method to group identical syllables together. Trained with a masked language modeling loss does not exhibit this sameĪbility, suggesting that the visual grounding objective is responsible for theĮmergence of this phenomenon. We demonstrate that a nearly identical model architecture (HuBERT) ![]() When training a self-supervised speech model with a visually-grounded training Download a PDF of the paper titled Syllable Discovery and Cross-Lingual Generalization in a Visually Grounded, Self-Supervised Speech Mode, by Puyuan Peng and 4 other authors Download PDF Abstract: In this paper, we show that representations capturing syllabic units emerge ![]()
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