Analyze audio files to extract features like beat, duration, and MFCCs. Enhance your projects with powerful audio analysis capabilities using this easy-to-install MCP. Transform your audio data into actionable insights effortlessly.
Tools
load
Loads an audio file and returns the path to the audio time series Offset and duration are optional, in seconds. Be careful, you will never know the name of the song.
get_duration
Returns the total duration (in seconds) of the given audio time series.
tempo
Estimates the tempo (in BPM) of the given audio time series using librosa. Offset and duration are optional, in seconds.
chroma_cqt
Computes the chroma CQT of the given audio time series using librosa. The chroma CQT is a representation of the audio signal in terms of its chromatic content, which is useful for music analysis. The chroma CQT is computed using the following parameters: - path_audio_time_series_y: The path to the audio time series (CSV file). It's sometimes better to take harmonics only - hop_length: The number of samples between frames. - fmin: The minimum frequency of the chroma feature. - n_chroma: The number of chroma bins (default is 12). - n_octaves: The number of octaves to include in the chroma feature. The chroma CQT is saved to a CSV file with the following columns: - note: The note name (C, C#, D, etc.). - time: The time position of the note in seconds. - amplitude: The amplitude of the note at that time. The path to the CSV file is returned.
Installation
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