內容簡介
LiteWebSynth 是一款具備 GM|GS|XG 樂器音色的合成器外掛，能處理 MIDI 檔案並提供音色編輯功能。它結合了動態生成的音頻節點與視覺化工具，讓使用者能夠輕鬆調整音效參數，並進行音頻處理與轉換。
【主要功能】
• 支援 GM|GS|XG 樂器音色合成
• 內建音波顯示器與 AHDSR 包絡形狀
• MIDI 檔案轉換為多種音頻格式
• 提供音色編輯器調整音效參數
• 整合第三方服務進行音頻處理
外掛標籤
開發者團隊
原文外掛簡介
LiteWebSynth is a synthesizer with GM|GS|XG instrumental sound fonts. The sequencer processes two types of MIDI files: 0 and 1. All GM timbres are generated by a combination of oscillators and a dynamically generated BufferSource. Some of the synthesizer’s audio nodes have controls located on the front panel. The built-in oscilloscope displays the actual waveform of the synthesizer’s resulting signal, the AHDSR envelope shape, and the current RAM usage of the user’s local computer. The GM Timbre Editor and GS|XG SoundFonts Editor allow you to adjust sound parameters. The GM|GS|XG diagram shows the current configuration of the synthesizer’s audio nodes. The LiteWebSynth plugin is created using AI. The next step in the plugin’s development is AudioWorklet.
P.S.: After experimenting, I concluded that when creating a .mid file, the PPQN parameter should be a multiple of 4.
For the end user: There is a small Help section located under: Sequencer/Help.
You can test this plugin on its https://adminkov.bcr.by/midi/
You can send a letter to the developer at: [email protected]
External Services
This plugin integrates with third-party services to provide advanced audio processing and conversion features. Data is transmitted to these external servers only when the user explicitly triggers the respective functionality.
This plugin integrates with third-party services to provide advanced audio processing, conversion, and recognition features. Data is transmitted to external servers or handled locally based on the specific functionality triggered by the user.
API2Convert
* Purpose: Converts MIDI files into various audio formats.
* Data transmitted: The source MIDI file and the user’s custom API key.
* Trigger: Data is sent to the external server only when the user explicitly clicks the “Export” button.
* Service Provider: API2Convert (https://api2convert.com)
* Terms of Service: https://online-convert.com/terms
* Privacy Policy: https://online-convert.com/privacy
TensorFlow (Local AI Processing)
* Purpose: Converts WAV/MP3 audio files into MIDI format using machine learning models.
* Data transmitted: None. The audio file is processed locally in the user’s browser via the TensorFlow library. No media files are uploaded to external servers.
* External Resource: The TensorFlow core JavaScript library is loaded from Cloudflare CDN.
* Terms of Service: https://developers.google.com/terms/site-policies
* Open Source License: https://www.apache.org/licenses/LICENSE-2.0
Spotify Audio Intelligence Lab (Basic Pitch)
* Purpose: Provides the core machine learning models to convert WAV/MP3 audio files into MIDI format.
* Data transmitted: None. The AI models (model.json and weights) are hosted locally within the plugin directory and executed entirely in the user’s browser. No data is shared with Spotify servers.
* Open Source Project: https://github.com/spotify/basic-pitch
* Open Source License: https://www.apache.org/licenses/LICENSE-2.0
