using System; using System.Linq; using System.Threading.Tasks; namespace polyrhythm_identifier { internal class Program { private const int sampleCount = 10; private const float accuracySensitivity = 2; private static readonly (float f, string l)[] rhythms = new[] { (0.5f, "1/2"), (0.667f, "2/3"), (0.75f, "3/4"), (1f, "1/1"), (1.33f, "4/3"), (1.5f, "3/2"), (2f, "2/1") }; static void Main(string[] args) { var p = new Program(); p.Loop(); } public void Loop() { Console.WriteLine("Use F & J to play a poly-rhythm"); var l_Samples = new DateTime[sampleCount]; int l_LastSampleIndex = 0; var r_Samples = new DateTime[sampleCount]; int r_LastSampleIndex = 0; while (true) { var k = Console.ReadKey(true); if (k.Key == ConsoleKey.F) { l_Samples[l_LastSampleIndex] = DateTime.Now; l_LastSampleIndex = (l_LastSampleIndex + 1) % sampleCount; } else if (k.Key == ConsoleKey.J) { r_Samples[r_LastSampleIndex] = DateTime.Now; r_LastSampleIndex = (r_LastSampleIndex + 1) % sampleCount; } Console.Clear(); //L var l_sTime = l_Samples[l_LastSampleIndex]; var l_eTime = l_Samples[(l_LastSampleIndex + (sampleCount - 1)) % sampleCount]; var l_span = (float)(l_eTime - l_sTime).TotalSeconds; float l_bpmF = ((sampleCount - 1) / l_span) * 60; int l_bpmI = (int)Math.Round(l_bpmF); Console.WriteLine(String.Format("L: {0} bpm", l_bpmI)); //R var r_sTime = r_Samples[r_LastSampleIndex]; var r_eTime = r_Samples[(r_LastSampleIndex + (sampleCount - 1)) % sampleCount]; var r_span = (float)(r_eTime - r_sTime).TotalSeconds; float r_bpmF = ((sampleCount - 1) / r_span) * 60; int r_bpmI = (int)Math.Round(r_bpmF); Console.WriteLine(String.Format("R: {0} bpm", r_bpmI)); //fraction if (l_bpmI > 0 && r_bpmI > 0) { var rawF = (float)l_bpmI / (float)r_bpmF; var f = Math.Round(rawF, 2); Console.WriteLine("F: " + f); var nearestFractionMatch = rhythms.OrderBy(x => Math.Abs((long)x.f - rawF)).First(); var nearest = rhythms.Select(p => new { Value = p, Difference = Math.Abs(p.f - rawF) }) .OrderBy(p => p.Difference) .First().Value; Console.WriteLine("Nearest match: " + nearest.l); } //accuracy float[] l_intervals = new float[sampleCount - 1]; float[] r_intervals = new float[sampleCount - 1]; for (int i = 0; i < sampleCount - 1; i++) { var l_i = (i + l_LastSampleIndex) % sampleCount; var r_i = (i + r_LastSampleIndex) % sampleCount; l_intervals[i] = (float)(l_Samples[(l_i + 1) % sampleCount] - l_Samples[l_i]).TotalSeconds; r_intervals[i] = (float)(r_Samples[(r_i + 1) % sampleCount] - r_Samples[r_i]).TotalSeconds; } var l_perfectInterval = l_span / (sampleCount - 1); var l_worst_interval = l_intervals.Select(p => new { Value = p, Difference = Math.Abs(p - l_perfectInterval) }) .OrderBy(p => p.Difference) .Last().Value; var l_diff = Math.Abs(l_perfectInterval - l_worst_interval); var l_diffR = (l_perfectInterval - (l_diff * accuracySensitivity)) / l_perfectInterval; var l_accuracy = l_diffR; var r_perfectInterval = r_span / (sampleCount - 1); var r_worst_interval = r_intervals.Select(p => new { Value = p, Difference = Math.Abs(p - r_perfectInterval) }) .OrderBy(p => p.Difference) .Last().Value; var r_diff = Math.Abs(r_perfectInterval - r_worst_interval); var r_diffR = (r_perfectInterval - (r_diff * accuracySensitivity)) / r_perfectInterval; var r_accuracy = r_diffR; Console.WriteLine(String.Format("L accuracy: {0}%", Math.Clamp(Math.Round(l_accuracy * 100), 0, 120))); Console.WriteLine(String.Format("R accuracy: {0}%", Math.Clamp(Math.Round(r_accuracy * 100), 0, 120))); Console.WriteLine(String.Format("Total accuracy: {0}%", Math.Clamp(Math.Round(((r_accuracy + l_accuracy) / 2) * 100), 0, 120))); } } } }