Spotify Plans On Listening To Your Voice And Suggest Music Based On Your Mood
So Spotify is going to monitor your speech, the audio of your speech, and based on that, they're going to try to guess your emotion so they can recommend a certain type of music to you as a listener.
What's going on, guys? My name is Matej. Another day for Music Biz Daily. And today I want to discuss this particular article about Spotify's new patent that they just got approved, which they filed in 2018, but is going to allow the app to monitor your speech as a consumer and use Voice Recognition to recommend music suggestions. Let's say, you know, instead of having to type in the type of song you're looking for, you may want to do it through audio kind of prompts or features. And based on your speech patterns in your voice that it kind of evaluates over time is going to try to guess your emotional state and then is going to predict the type of music that they want to serve to you through their algorithmic playlist. You know, things that you may be interested in. Let's say if you're feeling sad, maybe they'll give you a song that'll, you know, pump you up a little bit, some positive stuff. If you sound like, I don't know, you're working now, you're panting because you're out of breath or something. Maybe it'll give you something to calm down. Kind of like yoga music. It’s very interesting. But the reason I want to talk about this article is not telling you what Spotify does, because obviously they've got billions of dollars. You know, they can get these technologies patented. They may never even use it.
So I'm not saying this is a feature that's coming out. This is just a patent that they got approved. But the reason I'm bringing this up is that because you as the artist, as an independent artist or as a major or a medium sized label, you guys can also understand the emotional state or sort of the patterns or the behaviors of your fans, or the consumer. Right? On the micro level, understanding is not. But, you know, for major artists, it can be on the mass level because we're talking millions of people. Now, you know, how do you do that? Because, you know, like how do you recognize somebody's emotional state through speech? Obviously, you need to have a billion dollar company like Spotify to develop the technology and produce it at a mass scale. Right? But for you as an independent artist, if you know you have certain fans in your network because they follow you through Instagram, YouTube, Tik-Tok, whatever, and you start extracting that data, their contact information. For that way, you start getting their email addresses, their phone numbers into different apps like Community or Super Phone. That's the one that we put our clients on.
And we have a strategic relationship with Super Phone as the company, you know. But all those different type of apps allow us to sort of collect information about the location of your fans, what they like, when is their birthday, their sex, are they male or female or other, you know, whatever the case is. And if you have, you know, a computer geek on your team, maybe like somebody like myself or somebody from my team and you have a medium sized label, you guys could get additional data through all kinds of interactions with your fans and you can start sort of creating these different groups, what in the e-commerce world we call different quadrants. I think I talked about this before like for some of our fortune 500 companies that we help through my software company. You know, they may have millions of customers, but we always divide the customers into different quadrants, like the VIP customers that always purchase. The customers that purchase one time and never come back to the store. The customers that, you know, take a little bit more like marketing or remarketing too in order to purchase certain things.
The guinea pig customers, the ones that are willing to try a new product, free samples, things like that. For you as an artist, if you have a big enough database of these different traits and behaviors, you can be doing the same thing. You know what I'm saying? And based on that, you can figure out what your fans really like and you can literally produce the type of music that you want for them. Because, look, I know traditionally and I've talked about it a lot, you know, if you were to come to me and say, what's the best type of song I can make as an artist that has the quickest potential to get somewhere, you know, obviously, assuming that you're going to market it properly, promote it and all the other right stuff that goes behind it.
I generally would have told you or still will tell you that a club type joint, you know, a club song with a higher BPM that makes people happy that they want to dance is generally, you know, created. I mean, it has more of a chance of success faster because it can be distributed to DJs, people love to dance. A lot of times people want to look for music that makes them happy and they don't have to think about it a lot. Because they can move to it. The hooks got to be simple. You don't want to, you know, overcomplicate the lyrics and all of that, but in 2021, things are changing. If you're an artist that even built a decent sized audience. Hundred thousand true fans or out of those hundred thousand, thirty thousand really engage with you, you can start figuring out that maybe club joints is not what your particular fan base wants.
Maybe it’s slow songs, maybe it's sad songs. Maybe it's like deep poetry type songs. Maybe it's like super conscious hip hop, you know, say maybe it's like orchestral rock or like you get my point. The point I'm trying to make is that if you know your fans to the deepest level possible and you can also in the micro scale collect a lot of the data that Spotify on a macro scale is collecting about their users, including speech, pattern recognition and audio, you know, recognition, whatever they're doing. You can do it on a micro scale and you can adapt your product, your brand and all of that to your fans. And I say that all the time, is that I'm not saying you have to compromise your artistic integrity and only produce what your fan wants. And, you know, but I also don't want you to take a stance where it's like I don't care what my fans want. I don't care what anybody thinks except what I think. And I'm only going to produce the type of music that I want to produce because that's it. Like, I just do what I do. If you like it, you know, you know, fine. Take that attitude. All I'm saying is that for any company that I've experienced, any industry that I've been in, including the music industry, if you are consumer centric, meaning you care about what the consumer thinks, you care about, what your fan thinks, you will have a higher financial gain.
If financial gain doesn't mean nothing to you, then skip this video. You know what I'm saying but if you have more data about your consumer, the better equipped you are to produce a better product, better songs that cater to your audience. So we'll leave you guys with that. As always, if you want to get a hold of me or my team and see what we do, click in the link in my bio or click the link in the description below. Depending on where you're watching this, you know, comment on this. I want to know what you guys think. Let me know what you think about what Spotify is doing and how that's going to impact consumers like I use spotify every day. I don't know if I necessarily want them to recognize my speech patterns. That's my opinion. But also tell me what you think about the other stuff that I said that has to do with you as the artist and your ability to evaluate your own fan.