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🎵 Introducing Muze - the personalized streaming service that caters to all your workout needs! Whether you're jogging or lifting weights, Muze has got you covered! With Muze, you'll never struggle to find the perfect workout playlist again. Here are some of its amazing features: 🎧 Automatically plays the optimal song for every moment of your workout 🏃‍♂️ Finds songs to match your pace while running 💪 Enjoy songs tuned to your heartbeat while lifting weights 🎶 Featuring over 10 million songs, so you'll never run out of options Muze is perfect for fitness enthusiasts who want to take their workouts to the next level. Try it out today and experience the difference! Always exercise caution and consult your doctor before starting a new exercise routine.

Introducing Musico: 🎵 Smart Music Creation Engine Features: - AI-Driven Music Generation: Musico creates copyright-free music in various styles. - Real-Time Interaction: Users control Musico using gestures and control signals. - Semi-Assisted and Automatic Composition: Musico offers collaborative and fully automatic music composition. - AI-Assisted Composition: Users collaborate with AI for guided music creation. - Versatility in Applications: Musico enhances live performances, digital storytelling, and multimedia content. Use Cases: - Music Composition: Generate original and copyright-free music. - Live Performances: Spontaneous and dynamic music creation during live shows. - Multimedia Enhancement: Provide unique and fitting music for digital storytelling. Musico is an innovative AI-driven music generation tool that empowers music-makers with versatile and dynamic music composition capabilities. Whether for creating simple musical sketches or producing complex full songs, Musico offers an exciting and creative space for musicians and performers to explore and experiment with AI-powered music generation.

Introducing MusicGen: the cutting-edge solution for simple and controllable music generation. 🎵 🎵 Key Features: - Single-Stage Auto-Regressive Model: Generates all 4 codebooks in one pass for efficient music creation. - No Requirement for Self-Supervised Semantic Representation: Unlike existing methods, MusicGen doesn't require a self-supervised semantic representation. - Parallel Codebook Prediction: Introduces a small delay between codebooks, allowing for parallel prediction and reducing auto-regressive steps to 50 per second of audio. 🎧 Training Data: - 20K Hours of Licensed Music: Trained on a vast dataset, including 10K high-quality internal music tracks, ShutterStock, and Pond5 music data. 💡 Use Cases: - Efficient Music Generation: Generate music with only 50 auto-regressive steps per second of audio. - Controllable and Predictable Output: Achieve control and predictability in music creation with parallel codebook prediction. - Diverse Music Styles: Explore a wide range of music styles with the influence of 20K hours of licensed music data. MusicGen brings simplicity and control to music generation with its innovative training approach and extensive dataset. Whether you're aiming for efficiency, predictability, or diverse musical styles, MusicGen stands ready to transform your music creation experience. 🎶