Solving the Music Discovery Problem

Solving the Music Discovery Problem

Day the Music Discovery Died

It began as a simple thought: When was the last time I discovered an artist that truly moved me? And why aren’t the popular music apps delivering on their promise of discovery?

For years, I’ve found myself stuck in a loop, listening to the same voices, beats, and rhythms. Don’t get me wrong, I love my goto tracks. But there’s a lack of excitement in music now.

Turns out, my experience isn’t unique. I found friends and fellow music lovers expressing the same issue. We have millions of songs at our fingertips, yet somehow, we’ve lost the art of discovery.

Though major platforms attempt to address this issue, the problem persists:

  • Spotify: Leverages powerful algorithms through features like Discover Weekly and Daily Mixes but risks creating echo chambers.
  • Apple Music: Offers human-curated playlists and exclusive releases yet lacks sufficient personalization.
  • Amazon Music: Integrates with Alexa for voice-activated discovery, but its recommendation features are less prominent than its competitors.
  • YouTube Music: Merges video and audio, generating mixes based on history but often favors trending content.
  • Deezer: Balances AI and human curation with its Flow feature but only present in some markets.
  • SoundCloud: Specializes in emerging artists, ideal for underground discovery, though quality can be hit or miss.

In a community for one of these famous apps, someone wrote, "Please revamp discovery, else I would have to switch to alternatives"

Some listeners even suspect that promotional deals might influence playlist curation, overshadowing lesser-known but talented artists.

This prompted me to dive deeper into what drives our music preferences—and the results were fascinating.

Insights from Research

Many younger listeners, especially Gen Z, are less inclined to dive deep into artists and their music. Instead, they often focus on individual songs. In contrast, millennials and older generations used to buy entire albums, which encouraged a deeper connection with the artists and their work. Now, with easy access to single tracks, listeners can enjoy popular hits without exploring the full artistry behind them. This shift has led to a more superficial engagement with music, where users appreciate catchy songs but miss out on truly connecting with the artists themselves. A recent study revealed that 70% of musicians consider gaining visibility one of their top challenges. This oversaturation of content means that even established artists struggle to capture listeners' attention with their latest releases, further complicating the landscape for both fans and creators alike.

Also, famous apps are focusing more on the younger generation and neglecting older listeners. According to a recent study, 82% of Gen Z and 70% of millennials find new music via social media, compared to only 23% who discover it through streaming services. This emphasis on trends and viral content may lead platforms to prioritize features that cater to younger audiences, leaving older listeners feeling overlooked in the process.

Elements of Music

  • Lyrical Themes: Our brains resonate with lyrical content, connecting us to songs that mirror our personal experiences or current emotional state—whether introspective, political, or feel-good.
  • Sound and Melody: The brain decodes rhythm, tempo, and melody, identifying familiar patterns or new, emotionally engaging sounds.
  • Vocals: We are wired to respond to vocal qualities like tone and style, with preferences ranging from smooth and soulful to raw and raspy.
  • Emotional Profile: Music activates the brain’s emotional centers, especially the limbic system, linking songs to feelings like nostalgia, joy, or melancholy.

Music Tastes

  • Emotional States and Music Preferences: Studies show that people tend to choose music that aligns with their mood. For example, melancholic listeners gravitate toward somber tones, while energetic listeners prefer upbeat tracks.
  • Personality and Music Choice: Research reveals that personality traits are linked to music preferences. Some personality types may favor lively music, while others might enjoy more complex and diverse genres.
  • Nostalgia and Music: Nostalgia plays a powerful role in our music choices. Many listeners are drawn to songs that evoke memories from their youth or significant life events, suggesting that tapping into personal nostalgia can enhance satisfaction.
  • Cultural and Regional Differences: Music preferences are shaped by cultural and regional contexts. Some genres are more popular in specific areas, making it crucial to tailor recommendations to cultural tastes.

Problems I Aim to Address:

Many millennials today struggle to discover exciting new music because current streaming platforms often provide recommendations that feel diluted or repetitive. This leaves listeners unsatisfied and hampers artists in their efforts to reach new fans. With over 100,000 new songs released daily, the competition is fierce. A recent study found that 70% of musicians view gaining visibility as one of their top challenges.

  • Listeners struggle to discover new music that excites them because existing platforms fail to provide personalized recommendations tailored to their tastes.
  • Artists face challenges in reaching new fans and showcasing their music effectively, leading to missed opportunities to cultivate a loyal fanbase.

Given these challenges, I attempted to develop a new approach to music discovery.

Enter MusicQ - AI driven music recommendation app

MusicQ is your passport to a world of new music. Whether you're a casual listener or a die-hard audiophile, this app helps you uncover artists that resonate with your unique taste.

This app brings new, upcoming artists to the forefront while understanding your unique taste at a deeper level. I created a working prototype, tested it on a limited list of artists.

I used favorite artists as the starting point, given the absence of user data.
The algorithm currently operates on the key elements of music outlined earlier.

How It Works?

  1. Select your favorite artists from the library
  2. Get instant recommendations through AI based algorithm
  3. Discover new music with personalized song recommendations

Algorithm

*Data is based on the analysis of a few songs of the artists mentioned below

For instance, consider Adele is one of your favourite artist

adele = {
"name": "Adele",
"lyrical_themes": ["introspective", "emotional", "personal"],
"sound_and_melody": {
"rhythm": "moderate",
"tempo": "varied",
"instrumentation": ["piano", "orchestra", "acoustic"]
},
"vocals": ["powerful", "soulful", "emotive"],
"genre": ["pop", "soul", "blue-eyed soul"],
"emotional_profile": ["melancholic", "nostalgic", "cathartic"]
}        

# Matching Artists

emma_sameth = {
"name": "Emma Sameth",
"lyrical_themes": ["introspective", "emotional", "personal"],
"sound_and_melody": {
"rhythm": "moderate",
"tempo": "mid-tempo",
"instrumentation": ["piano", "electronic", "strings"]
},
"vocals": ["emotive", "breathy", "soulful"],
"genre": ["indie pop", "electropop", "alt-R&B"],
"emotional_profile": ["melancholic", "introspective", "hopeful"]
}        
james_blake = {
"name": "James Blake",
"lyrical_themes": ["introspective", "emotional", "abstract"],
"sound_and_melody": {
"rhythm": "varied",
"tempo": "slow to moderate",
"instrumentation": ["piano", "electronic", "synthesizers"]
},
"vocals": ["soulful", "falsetto", "emotive"],
"genre": ["electronic", "soul", "art pop"],
"emotional_profile": ["melancholic", "atmospheric", "introspective"]
}        

Possible Future Enhancements

If I were to develop a marketplace app version of this, several enhancements could be implemented to elevate the user experience and broaden impact. Future improvements may include:

  • Introducing personalized user profiles for tailored suggestions while continuously analyzing user feedback to refine the recommendation algorithm.
  • Integrating social sharing features to enhance user engagement.
  • Curating mood and contextual playlists from the recommendations to provide a more immersive listening experience.
  • Localizing content, ensuring the app caters to diverse audiences with region-specific offerings.
  • Building artist communities to foster fan loyalty, alongside collaborating on live events to strengthen connections between artists and fans.

References

https://bobbyowsinskiblog.com/musical-taste/

https://neurosciencenews.com/music-taste-neuroscience-25588/

https://www.researchgate.net/publication/351773776_The_importance_of_song_lyrics_in_perceptions_and_the_sense_of_identity_of_young_people


Sambhav Rathore

Growth & Strategy || Ecommmerce || Key Account Management || Tech enthusiast

1 个月

Inspiring stuff Shivanshu Som

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