How to Create a New Voice with AI

Can AI recreate voices?

Yes, artificial intelligence (AI) has advanced to the point where it can recreate human voices. With deep learning algorithms, you can generate a person’s voice to use in various applications, such as podcasts and YouTube videos.

How do you create a new voice with AI?

Creating a new voice with AI involves several steps:

1. Collecting Voice Data: This includes recording or obtaining audio files of the voice you want to create.
2. Preprocessing: Cleaning and normalizing the audio clip.
3. Training the Model: Using deep learning algorithms, a custom voice model is trained on the preprocessed voice data.
4. Synthesizing the Voice: Text-to-speech (TTS) technology transforms text into the generated voice.

Can you use AI to change your voice?

Absolutely! AI voice changers are available that allow users to alter their voice using real-time voice modification. This can be used for entertainment on social media platforms like TikTok or for voice actors looking to offer different voices.

Is it possible to make a voice sound like someone else?

This is a part of AI voice cloning, where algorithms learn a person’s voice and create a synthetic voice that resembles it. Deepfake technology has made this possible, though ethical considerations must be taken into account.

What are some ways that AI can be used to create new voices?

• Voiceovers: For audiobooks or explainer videos.
• Podcasts: Using custom voice in content creation.
• Chatbots: Offering unique speaking styles.
• Video Editing: Adding voice or sound effects.

What does a human voice sound like?

A human voice has a unique timbre and tonality, distinct from generated voices. Though AI can mimic human voices, there’s a certain warmth and intricacy that remains hard to replicate.

What is the difference between using a voice synthesizer and using AI to create a voice?

A voice synthesizer creates speech voices through rule-based algorithms, while AI uses machine learning to create more realistic voice outputs. AI often produces higher quality voice compared to traditional synthesizers.

What is the difference between voice conversion and voice cloning?

• Voice Conversion: Changing one voice into another while retaining the same speech content.
• Voice Cloning: Creating a synthetic copy of a person’s voice.

Top 8 Software or Apps for Voice Creation with AI

1. Resemble AI:
   • Pricing: Various plans.
   • Use Cases: Voice cloning, text-to-speech.
   • Languages: English, others.
2. Microsoft Azure Cognitive Services:
   • Pricing: Pay-as-you-go.
   • Use Cases: Custom voice, real-time voice modification.
3. iSpeech:
   • Pricing: Subscription-based.
   • Use Cases: Voiceovers, audiobooks.
4. Descript:
   • Pricing: Free & premium plans.
   • Use Cases: Podcasts, video editing.
5. Play.ht:
   • Pricing: Various plans.
   • Use Cases: Audio files for content creators.
6. DeepVoice by Baidu:
   • Pricing: Contact for details.
   • Use Cases: Deep learning voice synthesis.
7. VoiceMod Pro:
   • Pricing: Free & Pro versions.
   • Use Cases: Real-time voice changing, chatbots.
8. Apple’s Siri Voice Technology:
   • Pricing: Included with Apple devices.
   • Use Cases: Voice assistance, speech-to-speech.

From creating a voice with AI to transforming a voice using the best AI voice tools, the potential applications are wide-ranging. For tutorials, API access, and more, these platforms offer incredible opportunities for realistic voice creation in various media, including social media, explainer videos, and more. Whether you’re an audio pro or just getting started, AI technology opens a window to new horizons in voice creativity.