We compare features for dynamic time warping based keyword spotting in an almost zero-resource setting. The objective is to support United Nations (UN) humanitarian relief efforts in parts of Africa with severely under-resourced languages. As supervised resource, we restrict ourselves to an easily-compiled small set of isolated keywords. For feature extraction, we integrate a multilingual bottleneck feature extractor (BNF), trained on well-resourced out-of-domain languages, with a correspondence autoencoder (CAE), trained on extremely sparse in-domain data. We find that, on their own, BNFs and CAE features achieve more than 2% absolute performance improvement over baseline MFCCs. However, by using BNFs as input to the CAE, even better performance is achieved, with an 11% absolute improvement in ROC AUC over MFCCs and twice as many top-10 retrievals. We conclude that integrating BNFs with the CAE allows both large out-of-domain and sparse in-domain resources to be exploited for improved ASR-free keyword spotting.

Generating musical audio directly with neural networks is notoriously difficult because it requires coherently modeling structure at many different timescales. Fortunately, most music is also highly structured and can be represented as discrete note events played on musical instruments. Herein, we show that by using notes as an intermediate representation, we can train a suite of models capable of transcribing, composing, and synthesizing audio waveforms with coherent musical structure on timescales spanning six orders of magnitude ( 0.1 ms to 100 s), a process we call Wave2Midi2Wave. This large advance in the state of the art is enabled by our release of the new MAESTRO (MIDI and Audio Edited for Synchronous TRacks and Organization) dataset, composed of over 172 hours of virtuosic piano performances captured with fine alignment ( 3 ms) between note labels and audio waveforms. The networks and the dataset together present a promising approach toward creating new expressive and interpretable neural models of music. Since the beginning of the recent wave of deep learning research, there have been many attempts to create generative models of expressive musical audio de novo. These models would ideally generate audio that is both musically and sonically realistic to the point of being indistinguishable to a listener from music composed and performed by humans. However, modeling music has proven extremely difficult due to dependencies across the wide range of timescales that give rise to the characteristics of pitch and timbre (short-term) as well as those of rhythm (medium-term) and song structure (long-term). On the other hand, much of music has a large hierarchy of discrete structure embedded in its generative process: a composer creates songs, sections, and notes, and a performer realizes those notes with discrete events on their instrument, creating sound.

Automated melodic phrase detection and segmentation is a classical task in content-based music information retrieval and also the key towards automated music structure analysis. However, traditional methods still cannot satisfy practical requirements. In this paper, we explore and adapt various neural network architectures to see if they can be generalized to work with the symbolic representation of music and produce satisfactory melodic phrase segmentation. The main issue of applying deep-learning methods to phrase detection is the sparse labeling problem of training sets. We proposed two tailored label engineering with corresponding training techniques for different neural networks in order to make decisions at a sequential level. Experiment results show that the CNN-CRF architecture performs the best, being able to offer finer segmentation and faster to train, while CNN, Bi-LSTM-CNN and Bi-LSTM-CRF are acceptable alternatives.

In many ways, artificial intelligence (AI) is already influencing digital marketing in general, and content marketing in particular. But the truth is, there is so much more to come – so many more changes and improvements that AI will surely bring to content marketing. In this blog post, I'm going to explore some of these changes in order to try to understand what the future holds – read on to discover the 3 ways that artificial intelligence will change content marketing. Before I can discuss the effects of artificial intelligence – also known as AI, machine intelligence and in some cases, machine learning - on content marketing, it's important to first understand what exactly artificial intelligence is. So, what is AI, exactly? Techopedia defines it as "an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.

Douglas Rain, a Shakespeare actor who provided the eerie, calmly homicidal voice of HAL in Stanley Kubrick's 2001: A Space Odyssey, has died at the age of 90. The Canadian actor died Sunday morning, according to the Stratford Festival, where Rain spent 32 seasons acting in such roles such as Othello's Iago and Twelfth Night's Malvolio. He was also a founding member of the company. The Winnipeg-born actor had dozens of theater, film and television credits. However, Rain's biggest mark on pop culture was less Shakespearean, but perhaps just as much a classic: as 2001's HAL 9000, a sentient, rogue computer in a film written in collaboration with science-fiction author Arthur C. Clarke and widely regarded as Kubrick's masterpiece.

The name, price and release date of Samsung's mysterious foldable smartphone have finally been revealed, according to a South Korean news agency. Samsung teased the device at its annual developer conference last week, saying it will serve as the "foundation of the smartphone of tomorrow" – though few details about the phone were actually revealed. The so-called Galaxy F will be released in March 2019 and is expected to cost 2 million won (£1,370), the Seoul-based Yonhap News Agency reported. Uber has halted testing of driverless vehicles after a woman was killed by one of their cars in Tempe, Arizona. The I.F.O. is fuelled by eight electric engines, which is able to push the flying object to an estimated top speed of about 120mph The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

HAL 9000 will soon no longer be science fiction: sentient machines will quickly be with us. As "smart agents" make decisions for human actors a number of important legal issues will emerge. In this short film, LSE Professor Andrew Murray looks at how AI will fundamentally alter our understanding of what the law is and what it can achieve. These themes will be the focus of Professor Murray's forthcoming book - The Objective Self: Identity and Law in the Digital Society.

On Friday, November 2nd, Newhouse hosted a panel called Artificial Intelligence & Journalism: Consequences and Opportunities in Emerging Tech. The panelists discussed how artificial intelligence (AI) is moving the technology industry to media organizations. This is seen in the launch of magazine chatbots and daily news organizations use of AI to automate articles. However, it did expose me to research, researchers, and systems that I am excited to explore. In her presentation titled Artificial Unintelligence, Meredith Broussard highlighted the effects of homogeneity in the tech industry, which is mostly white males.

Bose is masterful at building compact speakers that deliver performances out of proportion to their size, but it's been viewed as having been outmaneuvered by competitors such as Sonos when it comes to building smart speakers that respond to voice commands. The brand-new Bose Home Speaker 500 should change that perception, but not all Bose fans will be pleased with the path the company has taken to get there. While Bose wisely built on the five-year heritage of its SoundTouch series of self-powered speakers and soundbars--some of which are compatible with Amazon Alexa devices, although they don't recognize voice commands themselves--the new mobile app that controls the $400 Home Speaker 500 (and its companion soundbars, the $550 Soundbar 500 and $800 Soundbar 700) rely on different mobile apps. If you already have SoundTouch speakers and want to add one of Bose's new smart speakers to another room, you won't be able to control all of them with the same app. Some consolation: You can use any of Bose's smart speakers to trigger a SoundTouch (or any other Alexa-compatible speaker).

Actor Douglas Rain, who was the voice of the sinister computer Hal in sci-fi film 2001: A Space Odyssey, has died, the organisers of a theatre festival he founded have said. Rain died at the age of 90, according to the Stratford Festival in Canada. The actor performed for 32 seasons at the Shakespearean festival and was nominated for a Tony Award in 1972. But he will be best remembered as the voice of Hal 9000, the AI computer in Stanley Kubrick's landmark 1968 film. Today we lost Douglas Rain, a member of our founding company and a hugely esteemed presence on our stages for 32 seasons. He will be greatly missed.