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Description
EchoVQ serves as an innovative platform that harnesses the power of AI to provide vocal training for singers, educators, and educational institutions alike. This versatile tool allows users to upload any track and automatically separates it into four distinct elements: vocals, drums, bass, and instruments. Additionally, it detects chords and key signatures, generates a comprehensive chord chart complete with synchronized lyrics, and produces lead sheets tailored for classroom applications.
- The platform features a detailed note-by-note pitch roll that visualizes the vocal melody, facilitating in-depth analysis.
- Students can record their singing over any selected stem mix, with options to share, download, or export their performances for further review.
- An AI vocal coach evaluates the recordings and offers constructive feedback on various aspects such as pitch accuracy, timing, dynamics, and vibrato.
- Educators are empowered to manage their students effectively, assign targeted exercises, develop personalized practice plans, and monitor individual progress over time.
- Moreover, EchoVQ provides licensing options for schools, making it a valuable resource for music education programs.
This platform not only enhances vocal skills but also fosters an engaging learning environment for both students and instructors.
Description
MVSEP is a web-based service that leverages artificial intelligence technology to decompose audio files into separate elements, such as vocals and musical instruments. Users are able to upload audio files with a maximum size of 100MB in various formats and choose from a selection of AI models for the separation process. The platform provides both free and premium subscription options, where premium users gain access to enhanced models that can isolate additional components, including bass, drums, piano, guitar, and more. The output files are available for download in several formats, including MP3, WAV, FLAC, and M4A. This service is especially advantageous for musicians, producers, and audio engineers who aim to extract specific audio elements for purposes such as remixing, analysis, or practice. Currently, MVSEP operates with two distinct datasets; the first is a synthetic dataset designed to evaluate separation quality between vocals and instruments, while the second is a diverse multisong dataset featuring individual tracks across various genres, capable of identifying vocals, instrumentals, bass, drums, and additional elements. Moreover, the platform continuously seeks to enhance its capabilities and expand its offerings to better serve its user community.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
No details available.
Integrations
No details available.
Pricing Details
$10/month
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
EchoVQ
Founded
2025
Country
Australia
Website
echovq.com
Vendor Details
Company Name
MSVEP
Website
mvsep.com
Product Features
Music School
Attendance Management
Class Management
Online Registration
Practice Log
Repertoire Management
Scheduling
Student Management