Researchers at Zhejiang University and Microsoft claim they've developed an AI system -- DeepSinger -- that can generate singing voices in multiple languages by training on data from music websites. In a paper published on the preprint Arxiv.org, The work -- like OpenAI's music-generating Jukebox AI -- has obvious commercial implications. Music artists are often pulled in for pick-up sessions to address mistakes, changes, or additions after a recording finishes. AI-assisted voice synthesis could eliminate the need for these, saving time and money on the part of the singers' employers.
Edit: If you want to see MarkovComposer in action, but you don't want to mess with Java code, you can access a web version of it here. In the following article, I'll present some of the research I've been working on lately. Algorithms, or algorithmic composition, have been used to compose music for centuries. For example, Western punctus contra punctum can be sometimes reduced to algorithmic determinacy. Then, why not use fast-learning computers capable of billions of calculations per second to do what they do best, to follow algorithms?
However, a new study has described how its status in science fact could actually be employed as another, and perhaps unlikely, form of entertainment -- live music. Dr Alexis Kirke, Senior Research Fellow in the Interdisciplinary Centre for Computer Music Research at the University of Plymouth (UK), has for the first time shown that a human musician can communicate directly with a quantum computer via teleportation. The result is a high-tech jamming session, through which a blend of live human and computer-generated sounds come together to create a unique performance piece. Speaking about the study, published in the current issue of the Journal of New Music Research, Dr Kirke said: "The world is racing to build the first practical and powerful quantum computers, and whoever succeeds first will have a scientific and military advantage because of the extreme computing power of these machines. This research shows for the first time that this much-vaunted advantage can also be helpful in the world of making and performing music. No other work has shown this previously in the arts, and it demonstrates that quantum power is something everyone can appreciate and enjoy."
The next challenge was to decide what to sell beyond books. They picked CDs and DVDs. Over the years, electronics, toys and clothing followed, as did overseas expansion. And all this time, Amazon was building a battalion of data-mining experts. Artificial intelligence expert Andreas Weigend was one of the first. Before joining, he had published more than 100 scientific articles, co-founded one of the first music recommendation systems, and worked on an application to analyse online trades in real-time.
YouTube is rolling out its "SmartReply" technology to YouTube, meaning that comments you see on the site might not actually have been written by a human. The technology analyses messages and then uses artificial intelligence to guess what a person might want to say in response to them. Users can then select that response and post it, without ever having to write anything out for themselves. It has already appeared within Gmail and Android's Messages app, and is open to developers who can integrate it within their own app. But it is now coming to YouTube, which represents the most public place any messages written by the SmartReply software will be seen.
We listen to music with our ears, but also our eyes, watching with appreciation as the pianist's fingers fly over the keys and the violinist's bow rocks across the ridge of strings. When the ear fails to tell two instruments apart, the eye often pitches in by matching each musician's movements to the beat of each part. A new artificial intelligence tool developed by the MIT-IBM Watson AI Lab leverages the virtual eyes and ears of a computer to separate similar sounds that are tricky even for humans to differentiate. The tool improves on earlier iterations by matching the movements of individual musicians, via their skeletal keypoints, to the tempo of individual parts, allowing listeners to isolate a single flute or violin among multiple flutes or violins. Potential applications for the work range from sound mixing, and turning up the volume of an instrument in a recording, to reducing the confusion that leads people to talk over one another on a video-conference calls.
Alexa is the world's most popular smart assistant and the driving force behind Amazon's beloved Echo smart speaker lineup. These voice-controlled, Alexa-enabled smart speakers can be used to manage your smart home, give you the forecasts for the day ahead, and much more. If you're thinking about inviting Alexa into your home via one of Amazon's Echo speakers, you may be wondering which one to buy. We took a look at two of Amazon's most popular smart speakers, the Echo (third-generation) and the Echo Dot (third-generation) to help you decide which of these handy smart speakers is best for you. The Echo Dot (third-generation) is one of the smallest Amazon Echo smart speakers. The most obvious visual difference between the Echo Dot and the Echo is the size.
Artificial intelligence is an increasingly contemporary topic. Whether it is scientific, medical, industrial, or even artistic, it poses humanity to ethical and moral questions of enormous proportions. Going through the classic science fiction canonisms with the contemporary scientific chronicle suggests a story that raises questions about the value of emotions, feelings, and the possible coexistence of the human being with the car. At the heart of the story is a young pair of researchers who get the job of testing an evolved artificial intelligence model. The android should be subjected to field testing by inviting an unknown host to interact by simulating human attitudes.
The JBL Link Music is a smart speaker in both design and market positioning. It's a great value for the person who doesn't want to pay a lot for a good-sounding smart speaker. Be forewarned, however; JBL's app is clunky and startup can be sluggish. Hey: you give, you get. The Link Music is the entry-level model in JBL's smart speaker line, but it doesn't compromise much in terms of sonic performance.
AWS DeepComposer gives you a creative way to get started with machine learning (ML) and generative AI techniques. AWS DeepComposer recently launched a new generative AI algorithm called autoregressive convolutional neural network (AR-CNN), which allows you to generate music in the style of Bach. In this blog post, we show a few examples of how you can use the AR-CNN algorithm to generate interesting compositions in the style of Bach and explain how the algorithm's parameters impact the characteristics of the generated composition. The AR-CNN algorithm provided in the AWS DeepComposer console offers a variety of parameters to generate unique compositions, such as the number of iterations and the maximum number of notes to add to or remove from the input melody to generate unique compositions. The parameter values will directly impact the extent to which you modify the input melody.