Within the ambit of VoIP (Voice over Internet Protocol) telecommunications, the complexities introduced by acoustic transformations merit rigorous analysis. This research, rooted in the exploration of proprietary sender-side denoising effects, meticulously evaluates platforms such as Google Meets and Zoom. The study draws upon the Deep Noise Suppression (DNS) 2020 dataset, ensuring a structured examination tailored to various denoising settings and receiver interfaces. A methodological novelty is introduced via the Oaxaca decomposition, traditionally an econometric tool, repurposed herein to analyze acoustic-phonetic perturbations within VoIP systems. To further ground the implications of these transformations, psychoacoustic metrics, specifically PESQ and STOI, were harnessed to furnish a comprehensive understanding of speech alterations. Cumulatively, the insights garnered underscore the intricate landscape of VoIP-influenced acoustic dynamics. In addition to the primary findings, a multitude of metrics are reported, extending the research purview. Moreover, out-of-domain benchmarking for both time and time-frequency domain speech enhancement models is included, thereby enhancing the depth and applicability of this inquiry. Repository: github.com/deepology/VoIP-DNS-Challenge

Flying into Dallas Fort Worth International Airport from Mexico in December, I queued in the immigration line for US citizens and was taken aback when – rather than request my passport – the Customs and Border Protection (CBP) agent simply instructed me to look at the camera and then pronounced my first name: "Maria?" Feeling an abrupt violation of my entire bodily autonomy, I nodded – and reckoned that it was perhaps easy to lose track of the rapid dystopian devolution of the world when one had spent the past two years hanging out on a beach in Oaxaca. A CBP poster promoting the transparent infringement on privacy was affixed to the airport wall, and featured a grey-haired man smiling suavely into the camera along with the text: "Our policies on privacy couldn't be more transparent. In my case, the process was not so fast, as I had to hand over my passport for physical scrutiny after I raised the agent's suspicions by being unable to answer in any remotely coherent fashion the ...

Oaxaca, Mexico - The small village of San Pedro Sochiapam, deep in the mountainous region of the southern Mexican state of Oaxaca, is home to the Chinantec people. Here steep footpaths end at chicken coops and cornfields grow on mountainsides, while the villagers clear brush with machetes and children enjoy ice-cream cones from a stall near the town hall. But, in its day to day routines of life, this community is struggling to maintain a unique and important cultural tradition - whistling. "Chinantec whistled speech is a form of communication where people can really whistle whatever they can say in the spoken language, even though there's more ambiguity in the whistled channel," explains Mark Sicoli, a linguistics professor at the University of Virginia, noting that the presence and absence of glottal stops, tones, and stress patterns make it a particularly productive form of communication. The sounds carry across canyons better than a shout in sharp, birdlike chirps that allow people to make plans, negotiate, and chat without ever saying a word.

Oyamel Cocina Mexicana, in the Penn Quarter neighborhood of Washington, D.C., is a restaurant specializing in insects. Stepping inside on a cool June evening in 2014, my friend Stephen Wood and I were immersed in the colors and smells of Oaxaca, Mexico. Oyamel is the name of the fir tree native to central Mexico where monarch butterflies rest upon migrating from the United States and Canada, and the décor had a lepidopteran theme: The glass door at the entrance was studded with transparent red, yellow, and pink butterflies, and butterfly mobiles hung from the ceiling. But it wasn't butterflies that Stephen and I had come to sample. Our quest focused on chapulines, soft tacos stuffed with grasshoppers. Taking our order, the waitress noted our luck: The grasshoppers sometimes get held up coming through customs from Mexico, but that night they were readily available. Stephen and I ordered a number of small, tapas-like dishes, and when the chapulines arrived, I saw insect body parts right away.

Results are presented on the performance of Adaptive Neuro-Fuzzy Inference system (ANFIS) for wind velocity forecasts in the Isthmus of Tehuantepec region in the state of Oaxaca, Mexico. The data bank was provided by the meteorological station located at the University of Isthmus, Tehuantepec campus, and this data bank covers the period from 2008 to 2011. Three data models were constructed to carry out 16, 24 and 48 hours forecasts using the following variables: wind velocity, temperature, barometric pressure, and date. The performance measure for the three models is the mean standard error (MSE). In this work, performance analysis in short-term prediction is presented, because it is essential in order to define an adequate wind speed model for eolian parks, where a right planning provide economic benefits.