Collaborating Authors


Tape It launches an A.I.-powered music recording app for iPhone – TechCrunch


Earlier this year, Apple officially discontinued Music Memos, an iPhone app that allowed musicians to quickly record audio and develop new song ideas. Now, a new startup called Tape It is stepping in to fill the void with an app that improves audio recordings by offering a variety of features, including higher-quality sound, automatic instrument detection, support for markers, notes, and images, and more. The idea for Tape It comes from two friends and musicians, Thomas Walther and Jan Nash. Walther had previously spent three and a half years at Spotify, following its 2017 acquisition of the audio detection startup Sonalytic, which he had co-founded. Nash, meanwhile, is a classically trained opera singer, who also plays bass and is an engineer.

How to feel about emotion recognition software - Verdict


Alexa, Siri and Cortana may sound like the top three hipster baby names in 2021, but they are actually Amazon, Apple and Microsoft's virtual assistants. In recent years, we have experienced a boom in speech recognition tools that understand what we are saying. And soon they could also understand how we are feeling. The list of companies working on the development of emotion recognition technology is growing exponentially, and investors appear to be excited when it comes to emotionally intelligent tech. The industry is undoubtedly booming, with estimates predicting that the global emotional intelligence market will grow to $64m by 2027. The most common form of emotion detection software uses cameras to record and analyse facial expressions, body movements and gestures to detect how people are feeling.

Data science isn't your only career option.


I wish I had a penny for every time I heard a person say they wanted to become a data scientist. From computer programming majors to mechanical engineering graduates, everyone wants to break into the data science industry. This is understandable, as the field carries with it the promise of a thick pay check and flexible working hours. However, there are many other less popular career options in the data industry that pay very well. Some of these fields are growing at an even faster rate than data science.

Can Technology Read Your Emotions?


Earlier this year, Spotify received a U.S. patent for technology to read the emotions of people based on speech recognition and background sounds. That approval followed findings by Spotify researchers that the company could determine listeners' personality traits based on the music they enjoy. The possibility that a leading music service might target advertisements or recommend songs linked to a customer's sentiments in real time itself prompted some strong emotions. More than 100 musicians, including Rage Against the Machine guitarist Tom Morello, and groups such as Amnesty International signed an open protest to Spotify's CEO, Daniel Ek. "This recommendation technology is dangerous, a violation of privacy and other human rights, and should not be implemented by Spotify or any other company," the petition reads. "Monitoring emotional state, and making recommendations based on it, puts the entity that deploys the tech in a dangerous position of power in relation to a user."

The Brash, Exuberant Sounds of Hyperpop

The New Yorker

In 2014, music fans and critics began paying close attention to a mysterious group of artists who'd started releasing tracks online. They were part of PC Music, a loose electronic-music collective that functioned more like a conceptual-art project. Led by a young, inventive producer from London named A. G. Cook, PC Music, and its affiliates, rejected a dark, murky strain of underground electronic music that was beloved at the time. Instead, they latched onto the most exuberant and absurd elements of pop, making cutesy, theatrical songs that sounded a bit like children's music, but with an unsettling aftertaste. If mainstream pop is designed to make people feel as if they're on common ground with all of humanity, this music made listeners feel like they were in on a very specific joke.

Music Genre Classification using Machine Learning


What is powering the onslaught of Artificial Intelligence in every industry across the world? In very simple words, you teach the machine how to derive results. The results purely depend on algorithms used and the data that is poured to train/teach the machine. Machine learning is being used to power recommendation systems, audio/video classification software, autonomous driving, and many more industrial processes. There are 97 million songs in the world, now these are just the songs that are documented.

Senior Data Scientist - Advertising


We work at the intersection of advertising and messaging technologies to connect millions of brands to billions of fans. As part of the Advertising team, we're paving the way for a sustainable global Spotify business that allows even more creators to make a living off their art. Come join us and help build the platform that powers promotion at Spotify. We are looking for a Data Scientist to join Spotify's Advertising Business Unit. The Advertising Business Unit is responsible for the success of Spotify's freemium business model that allows us to deliver an amazing free experience to more than 200 million users worldwide.

How to play podcasts on your Amazon Alexa


If you want to walk freely around your house listening to your podcasts on all your Alexa-enabled devices, we've got you covered. Alexa is Amazon's voice-operated virtual personal assistant that can perform a wide range of functions from reminding you of an appointment to checking the weather or listening to music on Spotify. It is an ideal tool for hands-free listening and playing a variety of content on Alexa-enabled devices. In order to listen to podcasts on your Amazon Alexa, you first have to link your podcast service to your Alexa. Once you have linked your podcast service to your Alexa you can ask Alexa to play your desired podcast by saying "Alexa, play RadioLab on Spotify."

Data Scientist - New Product Innovation


The Freemium R&D team oversees the entire user journey on Spotify and ensures we engage with people in innovative ways, every step of the way. Our team grows Spotify's audience by finding future listeners around the world and delivering the right value to them, at the right time. With research, product development, product design, engineering, and marketing all collaborating in one organization, we're able to quickly create meaningful features and services for millions of people around the world, resulting in joyful, long-lasting relationships with Spotify. We are looking for an experienced Data Scientist to join our Freemium Product Insights team. Our team is responsible for identifying user needs across global markets and building new product offerings to meet them.

US And Iran, Artificial Intelligence In Online Music Streaming


This March 20, 2018, file photo shows the Spotify app on an iPad in Baltimore. Iran has a new president who is taking a harder line against the U.S. We talk about what it means for the relationship, and the future of the now-defunct nuclear deal Iran. Then, we talk about the role artificial intelligence plays in connecting you with music you like on online streaming services like Spotify. At his first press conference since winning the election last week, Iranian President-elect Ebrahim Raisi said he is unwilling to meet with President Biden and that nuclear disarmament is non-... Are you more likely to discover your next favorite song on the radio or through one of many playlist's put together for you like Spotify's'Spotify Weekly'? We talk with a media professor about...