QQ Music recently launched a revolutionary "AI Music Podcast" function. This innovative technology deeply integrates artificial intelligence with podcast forms, bringing users an unprecedented music experience. Through advanced AI technologies such as Deepseek, Qinyu TTS model and Wenqu model, QQ Music has successfully created an immersive scene of "interpreting while listening to music", further promoting the innovative development of the music ecology.
The core of this technology lies in the synergy between the three major engines, building a complete AI music ecosystem from content generation to emotional transmission. First of all, DeepSeek semantics engine uses deep learning technology to accurately analyze the creation background, cultural connotation and emotional context of the song, and combines the singer's experience, the background of the times and the lyrics image to integrate fragmented information into a structured knowledge graph to help users understand music more deeply. Secondly, the Wenqu big model can intelligently generate multi-host host scripts, dynamically capture character qualities, realize multi-line narrative arrangement and dramatic plot structure, ensure that the content is seamlessly connected in the confrontation of views and plot twists, greatly enhancing the tension of narrative. In addition, the TTS model of Qinyu generates high-natural, super-anthropomorphic emotional expressions based on the text, and creates an immersive experience that perfectly integrates musical sounds and vocals through rich rhythm changes.
In terms of user scenario applications, AI Music Podcast supports playlist-level analysis, and users can generate in-depth interpretation of albums or theme playlists with just one click. Through structured information such as background stories and creative contexts, music appreciation is no longer limited to melody, but extends to cultural connotation and emotional resonance. AI anchors can arrange the narrative rhythm based on the emotional dynamics of the song, and automatically associate and create stories at the climax nodes of the music, and naturally integrate long audio in the form of dialogue into the listening scene. At the same time, the related music background stories and creative content will also be implanted into the song comment section to inspire music lovers to have more in-depth discussions and truly realize the immersive experience of "listening, understanding, and interacting".
These music podcasts can not only interpret the popular music charts at present and analyze the charm of the songs on the list, but also tell the unknown stories behind each song. The listeners seem to be in the fantasy world of music, breathing and sharing the same fate with the singers, and feeling the soul temperature of the music. Whether on the commute, in a leisure afternoon or a moment before going to bed, users can immerse themselves in this charming music story and start a deep conversation with the music.