voice
Reviews: Face Reconstruction from Voice using Generative Adversarial Networks
This paper proposes a convolutional neural network based model to reconstruct a face from spoken speech. The training is done by using supervised GAN. The problem is novel, but the model itself is not so much as using encoder (or embedder) and decoder (or generator) is quite standard, and supervised GAN training has also been popularly used, so in that perspective, its novelty is incremental. But I think this paper needs more thorough experimental study to show the effectiveness of the proposed model: 1. From the experimental results, I suspect that the generated faces only match those attributes (gender, race, etc.) but not much about identities.
Reviews: Face Reconstruction from Voice using Generative Adversarial Networks
The paper proposes a very novel method that creates an estimate of a face from a voice and works as a supervised method . The reviewers initially were not so convinced and with some disagree. The rebuttal was satisfying so that also one reviewer changed its score from weak rejection to acceptance. Thus, after a discussion with the Senior Area chair, the paper is accepted . This meta-review was reviewed and revised by the Program Chairs, based on discussions with the Senior Area Chair.
Police: Operator in Self-Driving Uber Crash Was Streaming 'The Voice'
"This crash would not have occurred if Vasquez would have been monitoring the vehicle and roadway conditions and was not distracted," the Tempe, Ariz., police report said. The police report said Ms. Vasquez could face vehicular manslaughter charges. Tempe police have referred the case to the Yavapai County attorney's office, where a spokeswoman said the matter is under review. Uber said in a statement it has a "a strict policy prohibiting mobile device usage for anyone operating our self-driving vehicles." Ms. Vasquez, who no longer works for Uber, couldn't be reached for comment.
- North America > United States > Arizona > Yavapai County (0.27)
- North America > United States > Arizona > Maricopa County > Tempe (0.27)
- North America > United States > California > San Francisco County > San Francisco (0.07)
- North America > Canada > Ontario > Toronto (0.07)
- Law Enforcement & Public Safety > Crime Prevention & Enforcement (1.00)
- Transportation > Ground > Road (0.40)
Driver was streaming The Voice when Uber self-driving car crashed, say police
The "safety" driver behind the wheel of a self-driving Uber that hit and killed a pedestrian was streaming the television show The Voice on her phone at the time of the crash, police have said. The collision that killed Elaine Herzberg, 49, who was crossing the road at night in Tempe, Arizona, was "entirely avoidable", a police report said, if Rafaela Vasquez had been paying attention. Instead she repeatedly looked down at her phone, glancing up just a half second before the car hit Herzberg. Police said she could faces charges of vehicle manslaughter, but it would be for prosecutors to decide. The Uber car was in autonomous mode at the time of the crash, but Uber, like other self-driving car developers, requires a back-up driver in the car to intervene when the autonomous system fails or a tricky driving situation occurs.
- Transportation > Ground > Road (1.00)
- Law Enforcement & Public Safety > Crime Prevention & Enforcement (1.00)
- Automobiles & Trucks (1.00)
Why 500 million people in China are talking to this AI
When Gang Xu, a 46-year-old Beijing resident, needs to communicate with his Canadian tenant about rent payments or electricity bills, he opens an app called iFlytek Input in his smartphone and taps an icon that looks like a microphone, and then begins talking. The software turns his Chinese verbal messages into English text messages, and sends them to the Canadian tenant. In China, over 500 million people use iFlytek Input to overcome obstacles in communication such as the one Xu faces. Some also use it to send text messages through voice commands while driving, or to communicate with a speaker of another Chinese dialect. The app was developed by iFlytek, a Chinese AI company that applies deep learning in a range of fields such as speech recognition, natural-language processing, machine translation, and data mining (see "50 Smartest Companies 2017").
A Review of the Twenty-Second SOAR Workshop
They are held on a Saturday and Sunday, with a tutorial or two on the preceding Friday. This year the workshop was preceded by two days of tutorials: an introductory tutorial on Thursday and a more advanced tutorial on Friday. The tutorials were held at the University of Michigan's Advanced Technology Lab and at the workshop site. There were 37 talks this year as well as a discussion session with 57 attendees. Seven sites made one presentation, sometimes involving multiple researchers.
1148
Someone said to an editor: "why not have a regular lighthearted column on AI topics?" The editor said: "what an excellent idea, and when will we get the first manuscript?" We go to press next week." While looking for something to give him, we stumbled on this old manuscript, written years ago (with our esteemed colleague Neil Agnew, the Duke of York). Ever had an old sock that you try to throw away, but keep finding in the bottom of a drawer?