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XYZWaveAndVoice is a library for voice recognition and voiceprint analysis. It enables speaker identification, speech-to-text conversion, and voiceprint-based security in iOS apps. The library simplifies voice processing integration, providing a seamless user experience for voice-enabled applications.

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brandy2015/XYZWaveAndVoice

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XYZWaveAndVoice

XYZWaveAndVoice

CocoaPods version badge SPM supported MIT License

XYZWaveAndVoice is a powerful iOS library designed for voice recognition and voiceprint analysis. It enables developers to integrate advanced voice biometric features, such as speaker identification, speech-to-text conversion, and voiceprint-based security, into their iOS applications.

This library simplifies the integration of voice processing, providing a seamless user experience for voice-enabled applications.

Video Screen Recording

Watch the video demonstration of XYZWaveAndVoice in action:
XYZWaveAndVoice Demo Video

Here’s a quick demo of how XYZWaveAndVoice works:

Demo

Demo Code

Demo Code VC

Features

  • Speech-to-Text: Accurately convert speech to text.
  • Easy Integration: Simplifies the process of adding voice functionalities to iOS apps.
  • Seamless UX: Enhance voice-enabled user experiences.
  • Sound Wave Visualization: Display dynamic sound waves as the user speaks, providing a visual representation of the voice input.

Requirements

  • iOS 15.0+
  • Xcode 16.0+
  • Swift 5.0+
  • AVFoundation Framework(iOS)
  • Speech Framework(iOS)

Installation

CocoaPods

To install XYZWaveAndVoice via CocoaPods, add the following line to your Podfile:

pod 'XYZWaveAndVoice' 

Swift Package Manager (SPM)

To install XYZWaveAndVoice via Swift Package Manager, add the following to your Package.swift file:

// In your Package.swift
dependencies: [
    .package(url: "https://github.com/brandy2015/XYZWaveAndVoice.git", .branch("main"))
]
.target(
    name: "YourApp",
    dependencies: ["XYZWaveAndVoice"]
)

About

XYZWaveAndVoice is a library for voice recognition and voiceprint analysis. It enables speaker identification, speech-to-text conversion, and voiceprint-based security in iOS apps. The library simplifies voice processing integration, providing a seamless user experience for voice-enabled applications.

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