@magenta/music - npm Package Compare versions

Comparing version 1.2.0 to 1.2.1

es5/core/index.d.ts

@@ -6,4 +6,5 @@ import * as aux_inputs from './aux_inputs';
 import * as logging from './logging';
+import * as performance from './performance';
 import * as sequences from './sequences';
-export { aux_inputs, chords, constants, data, logging, sequences };
+export { aux_inputs, chords, constants, data, logging, performance, sequences };
 export * from './midi_io';
@@ -10,0 +11,0 @@ export * from './player';

es5/core/index.js

@@ -16,2 +16,4 @@ "use strict";
 exports.logging = logging;
+var performance = require("./performance");
+exports.performance = performance;
 var sequences = require("./sequences");
@@ -18,0 +20,0 @@ exports.sequences = sequences;

es5/transcription/model.d.ts

@@ -1,2 +0,2 @@
-export declare class OnsetsAndFrames {
+declare class OnsetsAndFrames {
     private checkpointURL;
@@ -14,8 +14,9 @@ chunkLength: number;
     isInitialized(): boolean;
-    transcribeFromMelSpec(melSpec: number[][], parallelBatches?: number): Promise<import("../../../../../../../Users/adarob/repos/adarob-magentajs/music/src/protobuf/proto").tensorflow.magenta.NoteSequence>;
-    transcribeFromAudioBuffer(audioBuffer: AudioBuffer, batchSize?: number): Promise<import("../../../../../../../Users/adarob/repos/adarob-magentajs/music/src/protobuf/proto").tensorflow.magenta.NoteSequence>;
-    transcribeFromAudioFile(blob: Blob): Promise<import("../../../../../../../Users/adarob/repos/adarob-magentajs/music/src/protobuf/proto").tensorflow.magenta.NoteSequence>;
-    transcribeFromAudioURL(url: string): Promise<import("../../../../../../../Users/adarob/repos/adarob-magentajs/music/src/protobuf/proto").tensorflow.magenta.NoteSequence>;
+    transcribeFromMelSpec(melSpec: number[][], parallelBatches?: number): Promise<import("../../../../../../../Users/noms/Code/magenta-js/music/src/protobuf/proto").tensorflow.magenta.NoteSequence>;
+    transcribeFromAudioBuffer(audioBuffer: AudioBuffer, batchSize?: number): Promise<import("../../../../../../../Users/noms/Code/magenta-js/music/src/protobuf/proto").tensorflow.magenta.NoteSequence>;
+    transcribeFromAudioFile(blob: Blob): Promise<import("../../../../../../../Users/noms/Code/magenta-js/music/src/protobuf/proto").tensorflow.magenta.NoteSequence>;
+    transcribeFromAudioURL(url: string): Promise<import("../../../../../../../Users/noms/Code/magenta-js/music/src/protobuf/proto").tensorflow.magenta.NoteSequence>;
     private processBatches;
     private build;
 }
+export { OnsetsAndFrames };

package.json

 {
   "name": "@magenta/music",
-  "version": "1.2.0",
+  "version": "1.2.1",
   "description": "Make music with machine learning, in the browser.",
@@ -41,3 +41,3 @@ "main": "es5/index.js",
   "scripts": {
-    "prepublish": "yarn lint && yarn test && yarn build && yarn doc && yarn bundle && yarn publish-demos",
+    "prepublish": "yarn lint && yarn test && yarn build && yarn doc && yarn bundle",
     "build": "tsc && cp src/protobuf/proto.* es5/protobuf",
@@ -51,3 +51,3 @@ "bundle": "browserify --standalone mm src/index.ts -p [tsify] > dist/magentamusic.js",
     "proto": "sh compile-proto.sh",
-    "doc": "sh generate-docs.sh"
+    "doc": "sh generate-docs.sh && yarn publish-demos"
   },
@@ -54,0 +54,0 @@ "author": "Magenta",

README.md

@@ -18,8 +18,10 @@ # @magenta/music
 
-Here are a few applications built with MagentaMusic.js:
+Here are a few applications built with `@magenta/music`:
 
+- [Piano Scribe](https://piano-scribe.glitch.me) by [Monica Dinculescu](https://github.com/notwaldorf) and [Adam Roberts](https://github.com/adarob)
 - [Beat Blender](https://g.co/beatblender) by [Google Creative Lab](https://github.com/googlecreativelab)
 - [Melody Mixer](https://g.co/melodymixer) by [Google Creative Lab](https://github.com/googlecreativelab)
 - [Latent Loops](https://goo.gl/magenta/latent-loops) by [Google Pie Shop](https://github.com/teampieshop)
-- [Neural Drum Machine](https://codepen.io/teropa/pen/RMGxOQ) by [Tero Parviainen](https://github.com/teropa)
+- [Neural Drum Machine](https://goo.gl/magenta/neuraldrum) by [Tero Parviainen](https://github.com/teropa)
+- [Tenori-Off](https://tenori-off.glitch.me) by [Monica Dinculescu](https://github.com/notwaldorf)
 
@@ -33,10 +35,20 @@ You can also try our [hosted demos](https://tensorflow.github.io/magenta-js/music/demos) for each model and have a look at the [demo code](./demos).
 
+### Piano Transcription w/ Onsets and Frames
+
+[OnsetsAndFrames](https://tensorflow.github.io/magenta-js/music/classes/_transcription_model_.onsetsandframes.html) implements Magenta's [piano transcription model](g.co/magenta/onsets-frames) for converting raw audio to MIDI in the browser. While it is somewhat flexible, it works best on solo piano recordings. The algorithm takes half the duration of audio to run on most browsers, but due to a [Webkit bug](https://github.com/WebKit/webkit/blob/4a4870b75b95a836b516163d45a5cbd6f5222562/Source/WebCore/Modules/webaudio/AudioContext.cpp#L109), audio resampling will make this it significantly slower on Safari.
+
+**Demo Application:** [Piano Scribe](https://piano-scribe.glitch.me)
+
 ### MusicRNN
 
-[MusicRNN](https://tensorflow.github.io/magenta-js/classes/_music_vae_model_.musicvae.html) implements Magenta's LSTM-based language models. These include [MelodyRNN][melody-rnn], [DrumsRNN][drums-rnn], [ImprovRNN][improv-rnn], and [PerformanceRNN][performance-rnn].
+[MusicRNN](https://tensorflow.github.io/magenta-js/music/classes/_music_rnn_model_.musicrnn.html) implements Magenta's LSTM-based language models. These include [MelodyRNN][melody-rnn], [DrumsRNN][drums-rnn], [ImprovRNN][improv-rnn], and [PerformanceRNN][performance-rnn].
 
+**Demo Application:** [Neural Drum Machine](https://goo.gl/magenta/neuraldrum)
+
 ### MusicVAE
 
-[MusicVAE](https://tensorflow.github.io/magenta-js/classes/_music_rnn_model_.musicrnn.html) implements several configurations of Magenta's variational autoencoder model called [MusicVAE][music-vae] including melody and drum "loop" models, 4- and 16-bar "trio" models, and chord-conditioned "multi-track" models.
+[MusicVAE](https://tensorflow.github.io/magenta-js/music/classes/_music_vae_model_.musicvae.html) implements several configurations of Magenta's variational autoencoder model called [MusicVAE][music-vae] including melody and drum "loop" models, 4- and 16-bar "trio" models, and chord-conditioned "multi-track" models.
 
+**Demo Application:** [Endless Trios](https://goo.gl/magenta/endless-trios)
+
 ## Getting started
@@ -43,0 +55,0 @@

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Improved metrics

Lines of code

93229

increased by0.01%

Number of lines in readme file

173

increased by7.45%

Number of medium supply chain risk alerts

8

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Total package byte prevSize

4191956

decreased by-0.18%

Number of package files

105

decreased by-2.78%

No dependency changes