Music production tool that leverages off of Artificial intelligence
import tensorflow as tf
import librosa
# Load audio data
audio_data, sr = librosa.load('audio_file.wav')
# Preprocess audio data
tempo, beat_frames = librosa.beat.beat_track(audio_data, sr=sr)
beat_times = librosa.frames_to_time(beat_frames, sr=sr)
# Train a model
model = tf.keras.models.Sequential([
tf.keras.layers.Dense(64, activation='relu'),
tf.keras.layers.Dense(32, activation='relu'),
tf.keras.layers.Dense(16, activation='relu'),
tf.keras.layers.Dense(1, activation='sigmoid')
])
model.compile(optimizer='adam', loss='binary_crossentropy')
model.fit(X_train, y_train, epochs=10)
# Generate beats
generated_beats = model.predict(beat_times)
# Save generated beats
librosa.output.write_wav('generated_beats.wav', generated_beats, sr=sr)