/// <summary>
/// Recognize song in the database.
/// </summary>
/// <param name="songToRecognize">Preprocessed data of the song to be recognized.</param>
/// <returns>Recognition result containting info about recognized song and process of recognizing. Song null and empty SongAccuracies on failure.</returns>
public async Task <RecognitionResult> RecognizeSong(PreprocessedSongData songToRecognize)
{
string result;
try
{
result = await PostAsync(
baseUrl + "/recognition/recognizesong",
JsonSerializer.Serialize(songToRecognize, serializerOptions),
defaultHeaders);
}
catch (System.Net.Http.HttpRequestException e)
{
//result is null when there is no connection
result = null;
}
if (result != null)
{
return(JsonSerializer.Deserialize <RecognitionResult>(result, serializerOptions));
}
return(new RecognitionResult {
Song = null, SongAccuracies = new List <System.Tuple <uint, double> >()
});
}
/// <summary>
/// Upload new song to the database.
/// </summary>
/// <param name="songToUpload">Preprocessed song data to be uploaded.</param>
/// <returns>Uploaded song. Null on failure.</returns>
public async Task <Song> UploadSong(PreprocessedSongData songToUpload)
{
string result;
try
{
result = await PostAsync(
baseUrl + "/recognition/addnewsong",
JsonSerializer.Serialize(songToUpload, serializerOptions),
defaultHeaders);
}
catch (System.Net.Http.HttpRequestException e)
{
//result is null when there is no connection
result = null;
}
if (result != null)
{
return(JsonSerializer.Deserialize <Song>(result, serializerOptions));
}
return(null);
}
public ActionResult <Song> AddNewSong(PreprocessedSongData songToUpload)
{
Song newSong = new Song {
Author = songToUpload.Author, Name = songToUpload.Name, Lyrics = songToUpload.Lyrics, BPM = songToUpload.BPM
};
// Creaty empty SearchData data structure that will be saved into the database
Dictionary <uint, List <ulong> > searchData = new Dictionary <uint, List <ulong> >();
// Save song metadata
_context.Songs.Add(newSong);
_context.SaveChanges();
// Get Id manually so we can use it at fingerprint creation
int maxId = _context.Songs.Max(song => song.SongId);
_logger.LogInformation("Addding TFPs to database");
// Conversion of maxId from int to uint is safe because SongId is always positive and smaller than max value of int
_recognizer.AddFingerprintToDatabase(songToUpload.Fingerprint, Convert.ToUInt32(maxId), searchData);
// Update data in database
AddSearchDataToDB(searchData, newSong.BPM);
_context.SaveChanges();
// Return added song
return(CreatedAtAction(nameof(GetSong), new { id = newSong.Id }, newSong));
}
public async Task <ActionResult <RecognitionResult> > RecognizeSong(PreprocessedSongData songToUpload)
{
_logger.LogDebug("Getting correct searchdata");
Dictionary <uint, List <ulong> > searchData = GetSearchDataByBPM(songToUpload.BPM);
// recognize song
_logger.LogDebug("Recognizing song");
var recognitionResult = _recognizer.RecognizeSong(songToUpload.Fingerprint, searchData, songToUpload.TFPCount);
// parse recognition result
uint?songId = recognitionResult.Item1;
List <Tuple <uint, double> > songAccuracies = recognitionResult.Item2;
//find accuracy of recognition result song
double maxAccuracy = GetSongAccuracy(songId, songAccuracies);
// song was not found in chosen BPM sector
if (songId == null)
{
_logger.LogDebug("Song not found by BPM");
// Iterate through all other BPM (from 60 to 180) and try to find
// identify the song
for (int potentialBPM = 60; potentialBPM < 180; potentialBPM += 5)
{
//dont search in BPM that was already searched through
if (potentialBPM == songToUpload.BPM)
{
continue;
}
//get SearchData by bpm
searchData = GetSearchDataByBPM(potentialBPM);
var potentialRecognitionResult = _recognizer.RecognizeSong(songToUpload.Fingerprint, searchData, songToUpload.TFPCount);
uint? potentialSongId = potentialRecognitionResult.Item1;
double accuracy = GetSongAccuracy(potentialSongId, potentialRecognitionResult.Item2);
// If result is not null and accuracy is higher than current max
// remember the id and new max accuracy and accuracies of other songs
if (potentialSongId != null && accuracy > maxAccuracy)
{
_logger.LogDebug($"New potential song id found: {potentialSongId} with proba: {accuracy} in BPM: {potentialBPM}");
songId = potentialSongId; //remember songId
maxAccuracy = accuracy; //remember max accuracy
songAccuracies = potentialRecognitionResult.Item2; //remember accuracies of other song in BPM batch
}
}
}
if (songId == null)
{
return(new RecognitionResult
{
Song = null,
SongAccuracies = songAccuracies,
});
}
else
{
return(new RecognitionResult
{
// Conversion of songId from uint to int is safe, because ids are smaller than max value of int
// also songId is checked to not be null
Song = await _context.Songs.FindAsync((int)songId),
SongAccuracies = songAccuracies,
});
}
}
/// <summary>
/// C# side processing of uploaded or recorded audio data when recognizing song.
/// </summary>
/// <param name="sender"></param>
/// <param name="e">Instance with audio data and process status information.</param>
private async void OnSongToRecognizeEvent(object sender, string fileAsDataUrl, bool isDone)
{
//remove EventHandler in case this is the last iteration
WasmSongEvent -= OnSongToRecognizeEvent;
// Audio data is fully uploaded from javascript to C#, now recognize the song
if (isDone)
{
// Update UI
IsRecording = false;
IsUploading = false;
IsRecognizing = true;
InformationText = "Looking for a match ...";
try
{
// Convert audio data from Base64 string to byteArray
//string base64Data = Regex.Match(stringBuilder.ToString(), @"data:((audio)|(application))/(?<type>.+?),(?<data>.+)").Groups["data"].Value;
byte[] binData = Convert.FromBase64String(stringBuilder.ToString()); //this is the data I want byte[]
// Convert byte array to wav format
uploadedSong = new WavFormat(binData);
if (!IsSupported(uploadedSong))
{
//release resources
uploadedSong = null;
return;
}
}
// catch error that caused by faulty binData
// ArgumentException at WavFormat(binData)
// NullReferenceException at Regex.Match().Groups[]-Value
catch (Exception ex)
{
this.Log().LogError(ex.Message);
InformationText = "Error occured, please try again.";
IsRecognizing = false;
return;
}
//Debug print recorded audio properties
this.Log().LogDebug("[DEBUG] Channels: " + uploadedSong.Channels);
this.Log().LogDebug("[DEBUG] SampleRate: " + uploadedSong.SampleRate);
this.Log().LogDebug("[DEBUG] NumOfData: " + uploadedSong.NumOfDataSamples);
this.Log().LogDebug("[DEBUG] ActualNumOfData: " + uploadedSong.Data.Length);
//Name, Author and Lyrics is not important for recognition call
PreprocessedSongData songWavFormat = PreprocessSongData(uploadedSong);
RecognitionResult result = await recognizerApi.RecognizeSong(songWavFormat);
// Update UI
await WriteRecognitionResults(result);
IsRecognizing = false;
}
else
{
stringBuilder.Append(fileAsDataUrl);
//repeat this event until e.isDone == true;
WasmSongEvent += OnSongToRecognizeEvent;
}
}