
Voice Changer
Create song covers with any RVC v2 trained AI voice from audio files.
Avg Run Time: 143.000s
Model Slug: realistic-voice-cloning
Category: Voice to Voice
Input
Enter an URL or choose a file from your computer.
Click to upload or drag and drop
audio/mp3, audio/wav (Max 50MB)
Output
Example Result
Preview and download your result.
Create a Prediction
Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.
Get Prediction Result
Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.
Overview
The Voice Changer model is designed to transform input audio by altering various vocal characteristics, enabling users to modify aspects such as pitch, timbre, and apply effects like reverb. This model is particularly useful for creating unique vocal renditions, generating character voices, or enhancing audio content with specific stylistic attributes
Technical Specifications
Pitch Detection Algorithms: Utilizes algorithms like rmvpe and mangio-crepe for accurate pitch analysis.
Reverb Effects: Offers customizable reverb settings, including size, wetness, dryness, and damping, to enhance the spatial quality of the audio.
Volume Control: Allows independent adjustment of main vocals, backup vocals, and instrumental volumes for balanced mixing
Key Considerations
Parameter Sensitivity: Small changes in parameters like index_rate and filter_radius can significantly impact the output. It's advisable to make incremental adjustments and review the results.
Model Compatibility: When using a custom_rvc_model_download_url, ensure that the Voice Changer is compatible and properly formatted to avoid processing errors.
Resource Consumption: Processing complex transformations may require substantial computational resources, which could affect processing time
Tips & Tricks
rvc_model
- Selection: Choose from predefined models such as Squidward, MrKrabs, Plankton, Drake, Vader, Trump, Biden, Obama, Guitar, Violin, or select CUSTOM to upload a personalized model.
pitch_change
- Options:
- no-change: Maintains the original pitch.
- male-to-female: Raises the pitch to simulate a female voice.
- female-to-male: Lowers the pitch to simulate a male voice.
index_rate
- Range: 0 to 1
- Recommendation: Start with a default value of 0.5. Increase towards 1 to retain more of the original accent or decrease towards 0 to apply more of the Voice Changer's characteristics.
filter_radius
- Range: 0 to 7
- Recommendation: A higher value results in smoother outputs but may reduce detail. A value around 3 is a good starting point.
rms_mix_rate
- Range: 0 to 1
- Recommendation: Adjust to balance the root mean square (RMS) levels between the original and transformed audio. A value of 0.5 often provides a natural blend.
pitch_detection_algorithm
- Options:
- rmvpe: Suitable for general purposes with a good balance between speed and accuracy.
- mangio-crepe: Offers higher accuracy, especially for complex audio, but may require more processing power.
protect
- Range: 0 to 1
- Recommendation: Use this parameter to protect certain frequencies from transformation. A value of 0.5 protects mid-range frequencies, which can help maintain vocal clarity.
Reverb Settings
- reverb_size: Controls the perceived size of the space. A value of 0.5 simulates a medium-sized room.
- reverb_wetness: Adjusts the amount of reverb effect applied. A higher value increases the effect.
- reverb_dryness: Controls the presence of the original signal. Lower values reduce the dry signal, making the reverb more prominent.
- reverb_damping: Affects the decay of high frequencies. Higher values result in a warmer sound.
Capabilities
Transform Vocal Characteristics: Modify pitch, timbre, and apply effects to alter the original voice.
Create Character Voices with Voice Changer: Generate distinctive voices for characters in media productions.
Enhance Audio Content: Apply stylistic effects to improve or change the mood of audio recordings
What Can I Use It For?
Content Creation: Enhance podcasts, videos, and other media by altering vocal elements to fit specific themes or characters.
Entertainment: Create parody songs, voiceovers, or unique renditions of existing audio content.
Educational Purposes: Demonstrate the effects of audio processing and voice transformation in academic settings
Things to Be Aware Of
Experiment with different rvc_model options to achieve unique vocal transformations.
Use pitch_change settings to shift between male and female voices smoothly.
Adjust index_rate (0-1) to balance between clarity and transformation strength.
Modify filter_radius (0-7) to fine-tune the smoothness of the audio.
Try different pitch_detection_algorithm options (rmvpe, mangio-crepe) to see which works best for your audio.
Use reverb_size, reverb_wetness, and reverb_dryness for ambient effects.
Increase protect (0-1) if artifacts or distortions appear in the output.
Adjust main_vocals_volume_change and backup_vocals_volume_change to control the vocal balance.
Limitations
Model Dependency: The quality of the output heavily depends on the selected rvc_model and its compatibility with the input audio.
Voice Changer Processing Time : Complex transformations or high-resolution audio files may lead to longer processing times.
Audio Artifacts: Extreme parameter settings can introduce artifacts or unnatural sounds into the output.
Output Format: MP3
Pricing Detail
This model runs at a cost of $0.000247 per second.
The average execution time is 143 seconds, but this may vary depending on your input data.
The average cost per run is $0.035393
Pricing Type: Execution Time
Cost Per Second means the total cost is calculated based on how long the model runs. Instead of paying a fixed fee per run, you are charged for every second the model is actively processing. This pricing method provides flexibility, especially for models with variable execution times, because you only pay for the actual time used.
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