• Stars
    star
    2,759
  • Rank 15,521 (Top 0.4 %)
  • Language
    Python
  • License
    Apache License 2.0
  • Created almost 2 years ago
  • Updated 11 days ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

A lightweight yet powerful audio-to-MIDI converter with pitch bend detection

Basic Pitch Logo

License PyPI - Python Version Supported Platforms

Basic Pitch is a Python library for Automatic Music Transcription (AMT), using lightweight neural network developed by Spotify's Audio Intelligence Lab. It's small, easy-to-use, pip install-able and npm install-able via its sibling repo.

Basic Pitch may be simple, but it's is far from "basic"! basic-pitch is efficient and easy to use, and its multipitch support, its ability to generalize across instruments, and its note accuracy competes with much larger and more resource-hungry AMT systems.

Provide a compatible audio file and basic-pitch will generate a MIDI file, complete with pitch bends. Basic pitch is instrument-agnostic and supports polyphonic instruments, so you can freely enjoy transcription of all your favorite music, no matter what instrument is used. Basic pitch works best on one instrument at a time.

Research Paper

This library was released in conjunction with Spotify's publication at ICASSP 2022. You can read more about this research in the paper, A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation.

If you use this library in academic research, consider citing it:

@inproceedings{2022_BittnerBRME_LightweightNoteTranscription_ICASSP,
  author= {Bittner, Rachel M. and Bosch, Juan Jos\'e and Rubinstein, David and Meseguer-Brocal, Gabriel and Ewert, Sebastian},
  title= {A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch Estimation},
  booktitle= {Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
  address= {Singapore},
  year= 2022,
}

Note that we have improved Basic Pitch beyond what was presented in this paper. Therefore, if you use the output of Basic Pitch in academic research, we recommend that you cite the version of the code that was used.

Demo

If, for whatever reason, you're not yet completely inspired, or you're just like so totally over the general vibe and stuff, checkout our snappy demo website, basicpitch.io, to experiment with our model on whatever music audio you provide!

Installation

basic-pitch is available via PyPI. To install the current release:

pip install basic-pitch

To update Basic Pitch to the latest version, add --upgrade to the above command.

Compatible Environments:

  • MacOS, Windows and Ubuntu operating systems
  • Python versions 3.7, 3.8, 3.9, 3.10
  • For Mac M1 hardware, we currently only support python version 3.10. Otherwise, we suggest using a virtual machine.

Usage

Model Prediction

Command Line Tool

This library offers a command line tool interface. A basic prediction command will generate and save a MIDI file transcription of audio at the <input-audio-path> to the <output-directory>:

basic-pitch <output-directory> <input-audio-path>

For example:

basic-pitch /output/directory/path /input/audio/path

To process more than one audio file at a time:

basic-pitch <output-directory> <input-audio-path-1> <input-audio-path-2> <input-audio-path-3>

Optionally, you may append any of the following flags to your prediction command to save additional formats of the prediction output to the <output-directory>:

  • --sonify-midi to additionally save a .wav audio rendering of the MIDI file
  • --save-model-outputs to additionally save raw model outputs as an NPZ file
  • --save-note-events to additionally save the predicted note events as a CSV file

To discover more parameter control, run:

basic-pitch --help

Programmatic

predict()

Import basic-pitch into your own Python code and run the predict functions directly, providing an <input-audio-path> and returning the model's prediction results:

from basic_pitch.inference import predict
from basic_pitch import ICASSP_2022_MODEL_PATH

model_output, midi_data, note_events = predict(<input-audio-path>)
  • <minimum-frequency> & <maximum-frequency> (floats) set the maximum and minimum allowed note frequency, in Hz, returned by the model. Pitch events with frequencies outside of this range will be excluded from the prediction results.
  • model_output is the raw model inference output
  • midi_data is the transcribed MIDI data derived from the model_output
  • note_events is a list of note events derived from the model_output

predict() in a loop

To run prediction within a loop, you'll want to load the model yourself and provide predict() with the loaded model object itself to be used for repeated prediction calls, in order to avoid redundant and sluggish model loading.

import tensorflow as tf

from basic_pitch.inference import predict
from basic_pitch import ICASSP_2022_MODEL_PATH

basic_pitch_model = tf.saved_model.load(str(ICASSP_2022_MODEL_PATH))

for x in range():
    ...
    model_output, midi_data, note_events = predict(
        <loop-x-input-audio-path>,
        basic_pitch_model,
    )
    ...

predict_and_save()

If you would like basic-pitch orchestrate the generation and saving of our various supported output file types, you may use predict_and_save instead of using predict directly:

from basic_pitch.inference import predict_and_save

predict_and_save(
    <input-audio-path-list>,
    <output-directory>,
    <save-midi>,
    <sonify-midi>,
    <save-model-outputs>,
    <save-notes>,
)

where:

  • <input-audio-path-list> & <output-directory>
    • directory paths for basic-pitch to read from/write to.
  • <save-midi>
    • bool to control generating and saving a MIDI file to the <output-directory>
  • <sonify-midi>
    • bool to control saving a WAV audio rendering of the MIDI file to the <output-directory>
  • <save-model-outputs>
    • bool to control saving the raw model output as a NPZ file to the <output-directory>
  • <save-notes>
    • bool to control saving predicted note events as a CSV file <output-directory>

Model Input

Supported Audio Codecs

basic-pitch accepts all sound files that are compatible with its version of librosa, including:

  • .mp3
  • .ogg
  • .wav
  • .flac
  • .m4a

Mono Channel Audio Only

While you may use stereo audio as an input to our model, at prediction time, the channels of the input will be down-mixed to mono, and then analyzed and transcribed.

File Size/Audio Length

This model can process any size or length of audio, but processing of larger/longer audio files could be limited by your machine's available disk space. To process these files, we recommend streaming the audio of the file, processing windows of audio at a time.

Sample Rate

Input audio maybe be of any sample rate, however, all audio will be resampled to 22050 Hz before processing.

VST

Thanks to DamRsn for developing this working VST version of basic-pitch! - https://github.com/DamRsn/NeuralNote

Contributing

Contributions to basic-pitch are welcomed! See CONTRIBUTING.md for details.

Copyright and License

basic-pitch is Copyright 2022 Spotify AB.

This software is licensed under the Apache License, Version 2.0 (the "Apache License"). You may choose either license to govern your use of this software only upon the condition that you accept all of the terms of either the Apache License.

You may obtain a copy of the Apache License at:

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the Apache License or the GPL License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the Apache License for the specific language governing permissions and limitations under the Apache License.

More Repositories

1

luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Python
17,089
star
2

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
C++
12,458
star
3

docker-gc

INACTIVE: Docker garbage collection of containers and images
Shell
5,068
star
4

pedalboard

🎛 🔊 A Python library for working with audio.
C++
4,748
star
5

chartify

Python library that makes it easy for data scientists to create charts.
Python
3,447
star
6

dockerfile-maven

MATURE: A set of Maven tools for dealing with Dockerfiles
Java
2,730
star
7

docker-maven-plugin

INACTIVE: A maven plugin for Docker
Java
2,652
star
8

scio

A Scala API for Apache Beam and Google Cloud Dataflow.
Scala
2,485
star
9

helios

Docker container orchestration platform
Java
2,097
star
10

web-api-examples

Basic examples to authenticate and fetch data using the Spotify Web API
HTML
1,889
star
11

HubFramework

DEPRECATED – Spotify’s component-driven UI framework for iOS
Objective-C
1,864
star
12

apollo

Java libraries for writing composable microservices
Java
1,648
star
13

dh-virtualenv

Python virtualenvs in Debian packages
Python
1,590
star
14

docker-client

INACTIVE: A simple docker client for the JVM
Java
1,425
star
15

docker-kafka

Kafka (and Zookeeper) in Docker
Shell
1,397
star
16

SPTPersistentCache

Everyone tries to implement a cache at some point in their iOS app’s lifecycle, and this is ours.
Objective-C
1,244
star
17

mobius

A functional reactive framework for managing state evolution and side-effects.
Java
1,196
star
18

sparkey

Simple constant key/value storage library, for read-heavy systems with infrequent large bulk inserts.
C
1,143
star
19

ruler

Gradle plugin which helps you analyze the size of your Android apps.
Kotlin
1,094
star
20

voyager

🛰️ Voyager is an approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
C++
1,090
star
21

XCMetrics

XCMetrics is the easiest way to collect Xcode build metrics and improve developer productivity.
Swift
1,070
star
22

web-api

This issue tracker is no longer used. Join us in the Spotify for Developers forum for support with the Spotify Web API ➡️ https://community.spotify.com/t5/Spotify-for-Developers/bd-p/Spotify_Developer
RAML
981
star
23

echoprint-codegen

Codegen for Echoprint
C++
948
star
24

snakebite

A pure python HDFS client
Python
859
star
25

heroic

The Heroic Time Series Database
Java
843
star
26

klio

Smarter data pipelines for audio.
Python
825
star
27

XCRemoteCache

Swift
816
star
28

SPTDataLoader

The HTTP library used by the Spotify iOS client
Objective-C
624
star
29

apps-tutorial

A Spotify App that contains working examples of the use of Spotify Apps API
624
star
30

ios-sdk

Spotify SDK for iOS
Objective-C
609
star
31

JniHelpers

Tools for writing great JNI code
C++
584
star
32

postgresql-metrics

Tool that extracts and provides metrics on your PostgreSQL database
Python
583
star
33

reactochart

📈 React chart component library 📉
JavaScript
546
star
34

Mobius.swift

A functional reactive framework for managing state evolution and side-effects [Swift implementation]
Swift
539
star
35

dockerfile-mode

An emacs mode for handling Dockerfiles
Emacs Lisp
517
star
36

threaddump-analyzer

A JVM threaddump analyzer
JavaScript
481
star
37

featran

A Scala feature transformation library for data science and machine learning
Scala
467
star
38

android-sdk

Spotify SDK for Android
HTML
440
star
39

echoprint-server

Server for the Echoprint audio fingerprint system
Java
398
star
40

web-scripts

DEPRECATED: A collection of base configs and CLI wrappers used to speed up development @ Spotify.
TypeScript
382
star
41

completable-futures

Utilities for working with futures in Java 8
Java
378
star
42

SpotifyLogin

Swift framework for authenticating with the Spotify API
Swift
344
star
43

ratatool

A tool for data sampling, data generation, and data diffing
Scala
334
star
44

fmt-maven-plugin

Opinionated Maven Plugin that formats your Java code.
Java
299
star
45

big-data-rosetta-code

Code snippets for solving common big data problems in various platforms. Inspired by Rosetta Code
Scala
286
star
46

trickle

A small library for composing asynchronous code
Java
284
star
47

coordinator

A visual interface for turning an SVG into XY coördinates.
HTML
282
star
48

pythonflow

🐍 Dataflow programming for python.
Python
279
star
49

styx

"The path to execution", Styx is a service that schedules batch data processing jobs in Docker containers on Kubernetes.
Java
267
star
50

cstar

Apache Cassandra cluster orchestration tool for the command line
Python
254
star
51

netty-zmtp

A Netty implementation of ZMTP, the ZeroMQ Message Transport Protocol.
Java
242
star
52

ios-style

Guidelines for iOS development in use at Spotify
240
star
53

cassandra-reaper

Software to run automated repairs of cassandra
234
star
54

confidence

Python
232
star
55

spotify-web-api-ts-sdk

A Typescript SDK for the Spotify Web API with types for returned data.
TypeScript
231
star
56

docker-cassandra

Cassandra in Docker with fast startup
Shell
218
star
57

terraform-gke-kubeflow-cluster

Terraform module for creating GKE clusters to run Kubeflow
HCL
209
star
58

linux

Spotify's Linux kernel for Debian-based systems
C
203
star
59

git-test

test your commits
Shell
202
star
60

dns-java

DNS wrapper library that provides SRV lookup functionality
Java
201
star
61

SPStackedNav

[DEPRECATED] Navigation controller which represents its content in stacks of panes, rather than one at a time
Objective-C
195
star
62

basic-pitch-ts

A lightweight yet powerful audio-to-MIDI converter with pitch bend detection.
TypeScript
194
star
63

quickstart

A CommonJS module resolver, loader and compiler for node.js and browsers.
JavaScript
192
star
64

spotify-json

Fast and nice to use C++ JSON library.
C++
188
star
65

dbeam

DBeam exports SQL tables into Avro files using JDBC and Apache Beam
Java
181
star
66

flink-on-k8s-operator

Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.
Go
178
star
67

bazel-tools

Tools for dealing with very large Bazel-managed repositories
Java
165
star
68

lingon

A user friendly tool for building single-page JavaScript applications
JavaScript
162
star
69

dataenum

Algebraic data types in Java.
Java
159
star
70

async-google-pubsub-client

[SUNSET] Async Google Pubsub Client
Java
157
star
71

magnolify

A collection of Magnolia add-on modules
Scala
157
star
72

gcp-audit

A tool for auditing security properties of GCP projects.
Python
156
star
73

spark-bigquery

Google BigQuery support for Spark, SQL, and DataFrames
Scala
154
star
74

flo

A lightweight workflow definition library
Java
146
star
75

folsom

An asynchronous memcache client for Java
Java
144
star
76

should-up

Remove most of the "should" noise from your tests
JavaScript
143
star
77

missinglink

Build time tool for detecting link problems in java projects
Java
141
star
78

zoltar

Common library for serving TensorFlow, XGBoost and scikit-learn models in production.
Java
141
star
79

android-auth

Spotify authentication and authorization for Android. Part of the Spotify Android SDK.
HTML
139
star
80

proto-registry

An implementation of the Protobuf Registry API
TypeScript
139
star
81

futures-extra

Java library for working with Guava futures
Java
136
star
82

annoy-java

Approximate nearest neighbors in Java
Java
134
star
83

spydra

Ephemeral Hadoop clusters using Google Compute Platform
Java
132
star
84

docker-stress

Simple docker stress test and monitoring tools
Python
124
star
85

spotify-tensorflow

Provides Spotify-specific TensorFlow helpers
Python
123
star
86

spotify-web-playback-sdk-example

React based example app that creates a new player in Spotify Connect to play music from in the browse using Spotify Web Playback SDK.
JavaScript
120
star
87

crtauth

a public key backed client/server authentication system
Python
119
star
88

sparkey-java

Java implementation of the Sparkey key value store
Java
117
star
89

redux-location-state

Utilities for reading & writing Redux store state to & from the URL
JavaScript
117
star
90

rspec-dns

Easily test your DNS with RSpec
Ruby
108
star
91

web-playback-sdk

This issue tracker is no longer used. Join us in the Spotify for Developers forum for support with the Spotify Web Playback SDK ➡️ https://community.spotify.com/t5/Spotify-for-Developers/bd-p/Spotify_Developer
108
star
92

ffwd-ruby

An event and metrics fast-forwarding agent.
Ruby
106
star
93

realbook

Easier audio-based machine learning with TensorFlow.
Python
106
star
94

github-java-client

A Java client to Github API
Java
105
star
95

gimme

Creating time bound IAM Conditions with ease and flair
Python
103
star
96

super-smash-brogp

Sends and withdraws BGP prefixes for fun.
Python
98
star
97

lighthouse-audit-service

TypeScript
93
star
98

noether

Scala Aggregators used for ML Model metrics monitoring
Scala
91
star
99

python-graphwalker

Python re-implementation of the graphwalker testing tool
Python
90
star
100

spotify-js-challenge

JavaScript
87
star