PG Music Home Forums PG Music Product Forums Band-in-a-Box for Windows BiaB and AI?

Try these for existing style match https://www.ilovefreesoftware.com/28/featured/free-similar-audio-file-finder-software-windows.html

Use your target song and compare to X:\bb\RealTracks\Data\Style Demos Audio



This could also work for finding similar RT/Drums (or split audio using Spleeter or ezstems.com) like
https://www.loopcloud.com/cloud/blog/4783-Loopcloud-6-Feature-Focus-AI-Sound-Matching
https://jamahook.com/

X:\bb\Demos\RealTracks - Demos
X:\bb\RealTracks\Data\RealDrums Demos Audio

Except musical nonsense can be good stuff. My example was made to be goofy but I would be seriously interested in how an AI might cope with it.

More generally, I imagine a floating input box that hovers above the BIAB interface and accepts a text prompt in any context, doing the most intelligent thing with it. You can type “quit” or you can type (or say) “make it sadder.” An AI chatbot that knows music theory and can control everything in the application according to freeform prompts.

From ChatGPT…

In the context of the “Band in a Box” application, an AI chatbot could be implemented to enhance the user experience and provide helpful assistance related to music composition, arrangement, and improvisation. Here’s a possible description of how such a chatbot might be implemented:

1. Natural Language Processing (NLP): The chatbot would utilize NLP techniques to understand and interpret user queries and commands. It would analyze the text input from the user, extract relevant information, and generate appropriate responses.

2. Intent Recognition: The chatbot would employ intent recognition algorithms to determine the user’s intention behind a query. This would involve identifying keywords and patterns to classify the user’s request accurately. For example, if a user asks, “How can I add a drum track to my composition?”, the chatbot would recognize the intent as a question related to adding drum tracks.

3. Dialog Management: The chatbot would employ dialog management techniques to maintain context and coherence throughout the conversation. It would keep track of the user’s previous queries, responses, and actions to provide accurate and relevant information in subsequent interactions.

4. Knowledge Base: The chatbot would be equipped with a comprehensive knowledge base containing information about music theory, composition techniques, instrument ranges, music genres, and other relevant topics. This knowledge base would be constantly updated and expanded to provide up-to-date and accurate responses to user queries.

5. Music Generation: Since the “Band in a Box” application focuses on music composition and arrangement, the chatbot could have the capability to generate musical suggestions based on user inputs. It could analyze the user’s composition or specific requirements and provide recommendations for chord progressions, melodies, rhythms, or instrument arrangements.

6. User Assistance: The chatbot would assist users in navigating the features and functionalities of the “Band in a Box” application. It could provide step-by-step instructions, offer tips and tricks, and answer user questions about specific features or workflows.

7. Personalization: The chatbot could learn from the user’s interactions and preferences over time. By analyzing the user’s composition style, musical preferences, and past interactions, it could provide more tailored recommendations and suggestions in subsequent interactions.

8. Integration: The chatbot would be seamlessly integrated into the “Band in a Box” application, accessible through a chat interface within the user interface. Users could interact with the chatbot by typing queries or using voice commands, making it a convenient and intuitive tool within the application.

Overall, the AI chatbot in the “Band in a Box” application would aim to enhance the user’s musical composition experience by providing personalized assistance, generating musical suggestions, and offering helpful guidance throughout the creative process.

That frames the discussion very nicely.

Meet George Jetson...

As an example of one that I think Speed Test does have value, I use a new plugin set for reverb and compression and limiting that says it uses AI. I appreciate that this program gets me very close to the right settings automatically, by analyzing my music and applying what they say is AI.