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OBJECTIVE:
The objective for this assignment is to successfully generate problem statements which focus on the function to be achieved by any viable design solution. Then apply various techniques and strategies to evaluate the project scope.
Project Statements:
With the rise of technology in the adapting world there is an ever present need for innovation of old methods. The world of music is recorded using notation on a musical staff but many musicians struggle with transcribing their playing into this form. The addition of virtual music software also gave rise to a new notation known as MIDI, which shows a virtual representation of the music.
The average or beginner musician should be able to transcribe their knowledge into a written or virtual form but the steep learning curve makes this a challenge for many people.
Our aim is to design a system which listens to a piece of music and transcribe it onto the musical staff or into MIDI notation to make the repeatability and organization of music more readily available and easy.
Statement-Restatement Technique
Statement-Restatement Technique
Initial Statement: Transcribing is difficult for those without practice.
Restatement: Short term transcribing is currently not available
Real Problem: There is no fast, easy, hands-free way to transcribe
Source/Cause Approach
Source/Cause Approach
In order to perform a source/cause properly, we must first identify pieces of music we would like to look into and determine what makes it hard to transcribe them. We can make this hunt easier by breaking down the steps of transcribing piece by piece to select the main cause of its complexity. Once identified, we can research possible combatants to the problem, if studies have already been conducted, and put them to the test through trials and numerous redesigns and iterations. When all this is done, we can have a better chance at success with our mission.
Revision Method
Revision Method
Piggy-backing off of source/cause, in our testing phase we can use the revision method to better find a solution. Once we have identified what we want to test, we can perform initial trials to get our first sets of data. With the data acquired, we can rework our program/learning algorithm to more accurately push towards the data points we've deemed viable. We continue this process until we have a working program that is to our satisfaction. After this, we can introduce users to the program to secure longevity of the program.
Kepner-Tregoe Analysis
Kepner-Tregoe Analysis
What is known:
No rapid automatic music transcription is available.
Growing demand for efficient transcribing tools because of digitalization.
The quality of music and satisfaction of users are hampered by inefficiency
Inefficiencies challenge musicians and composers concerning their output.
Tasks:
Clearly define the requirements for a fast, easy, hands-free music transcription solution.
Research existing transcription methods and technologies specifically focusing on their speed, ease of use, and hands-free capabilities.
Evaluate other options against the criteria
Choose one solution that works best
Put the chosen answer into practice
Continuously monitor user feedback and make necessary adjustments to optimize the solution's performance and usability over time.
Present State-Desired State
Present State-Desired State
Who:
Users who require fast, easy, hands-free music transcription.
Developers and engineers tasked with creating transcription solutions.
What:
Lack of a convenient method for music transcription.
Existing methods are time-consuming, manual, or lack ease of use.
Where:
In music production studios, classrooms, and rehearsal spaces.
Across various musical genres and styles worldwide.
When:
The need for efficient transcription methods is ongoing and increasing.
Why:
Technological Limitations: Current technology may not be advanced enough to provide real-time transcription with high accuracy and ease of use.
Complexity of Music: Musical compositions' complexity may pose challenges for automated transcription algorithms.
User Interface Design: Existing solutions may lack intuitive interfaces for hands-free operation, leading to inefficiencies.
Lack of Integration: Transcription tools may not seamlessly integrate with other software or hardware used in music production workflows, causing disruptions.
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