Mureka V7.5 – An AI music generation model launched by Kunlun Wanwei

What is Mureka V7.5？

Mureka V7.5 is an advanced AI music generation model launched by Kunlun Wanwei Group. The model excels at Chinese song creation, accurately reproducing timbre and playing techniques while enhancing articulation and emotional expression. It leverages optimized ASR technology to analyze subtle details in real singing, producing more natural and emotionally rich vocals. Mureka V7.5 incorporates extensive characteristics of Chinese music culture, allowing it to deeply understand and faithfully reproduce the unique charm of Chinese music. It brings higher artistic quality and realism to music creation, marking a new milestone in AI-powered music composition.

Key Features of Mureka V7.5

• High-quality Chinese song generation: Creates songs with natural timbre, rich emotion, and characteristics aligned with Chinese music.

• Precise articulation and emotional expression: Uses optimized ASR technology to accurately recognize lyrics and analyze the emotional nuances and details of real singing, producing more natural vocals.

• Support for diverse musical styles: Covers a wide range of Chinese music genres, from traditional folk songs and opera to pop hits and contemporary folk music.

• Deep understanding of cultural characteristics: Possesses a profound understanding of the cultural background and artistic essence of Chinese music, generating works that fit their cultural context.

Technical Principles of Mureka V7.5

• Deep learning and music comprehension: By learning from a large dataset of Chinese music, the model understands characteristics of different styles and genres. It accumulates extensive knowledge of Chinese musical culture during training, enabling it to generate music that reflects authentic Chinese musical features.

• Optimized ASR technology: Based on advanced automatic speech recognition (ASR), the model accurately identifies lyrics and analyzes breath control, emotional dynamics, and vocal nuances in real singing. ASR intelligently segments musical phrases, determines natural breathing and pause points, enhancing the clarity and realism of generated vocals.

• Generation model optimization: Fine-grained singing information captured by ASR feeds back into the generation model, improving naturalness, breathiness, and emotional authenticity of the vocals. Optimizations ensure that AI-performed songs are smooth and closer to human singing, particularly in handling the rhythm and breath patterns unique to Chinese music.

Project Website

• Official website: Mureka

Application Scenarios of Mureka V7.5

• Music composition and production: Provides musicians with efficient tools to quickly generate melodies, arrangements, and vocals, enhancing creativity and productivity.

• Film and multimedia scoring: Customizes background music for films, games, and other multimedia content, accurately matching scene moods and enhancing the auditory experience.

• Digital content and virtual characters: Empowers virtual idols and digital humans with music creation and singing abilities, enhancing expressiveness, interactivity, and the boundaries of digital content.

• Education and training: Serves as a tool for music teaching, helping students understand music theory and composition techniques, and can also assist in pronunciation training for language learning.

• Entertainment and interactive experiences: Supports personalized music creation on online platforms, providing interactive music features for social media and live streaming, enriching user entertainment experiences.