Answer:
gemini / gemini-2.5-flash
Currently, there isn't a single, fully automated AI solution that can reliably take a song name and generate a high-quality, accurate musical score for specific instruments like bass guitar, guitar, and keyboard. The process is complex and typically requires a multi-step workflow with significant manual refinement. Here's how AI can assist, though: 1. **Audio Source:** You would first need the song's audio (e.g., from a streaming service or file). 2. **Stem Separation:** AI-powered services (e.g., Moises.ai, LALAL.AI, RipX, Spleeter) can separate the audio into individual instrument tracks (bass, drums, vocals, and a combined "other" track that would contain guitar and keyboard). 3. **Audio-to-Notation:** Specialized software or online tools can then attempt to transcribe these separated audio stems into MIDI or basic musical notation. This is the most challenging step for AI, as accurately distinguishing complex chords, voicings, and rhythms for multiple instruments from a mixed track is difficult. 4. **Manual…
openai / gpt-4o-mini
Score: 8
The answer accurately outlines the steps that would be involved in generating a score from an audio track, highlighting the complexity of the task. However, it could be more explicit about the limitations of current AI regarding the accuracy of transcription, particularly for complex compositions. Additionally, some software like MuseScore or Noteflight can automate this process to some extent but might not be mentioned. Despite that, it appropriately emphasizes the need for manual refinement. Overall, it provides a good overview but could benefit from mentioning more AI tools and their capabilities.
groq / llama-3.1-8b-instant
Score: 8.5
The answer is generally accurate and provides a clear multi-step process for generating a musical score using AI. However, it does not mention any specific AI solution that can generate a score for specific instruments like bass guitar, guitar, and keyboard from a song name. The answer also mentions that the process is complex and typically requires manual refinement, but it does not provide any information on how to refine the generated score. Additionally, the answer does not mention any limitations or potential errors that may occur during the process.
cohere / command-r-plus-08-2024
Score: 9.5
The answer is highly accurate and comprehensive, providing a clear and detailed overview of the current capabilities and limitations of AI in generating musical scores from audio sources. It correctly identifies the multi-step process, including audio source acquisition, stem separation, audio-to-notation conversion, and the need for manual refinement. The only potential improvement is a slight overstatement of the difficulty of audio-to-notation transcription for AI. While challenging, especially for complex arrangements, AI has made significant strides in this area, and some systems can produce impressive results, particularly with simpler pieces or when provided with reference material.
Scores are 0–10. The selected AI’s score is a self-rating.
