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cjwbw /voicecraft:daa3b2c4

Input schema

The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.

Field Type Default value Description
orig_audio
string
Original audio file
orig_transcript
string
Transcript of the original audio file. You can use models such as https://replicate.com/openai/whisper and https://replicate.com/vaibhavs10/incredibly-fast-whisper to get the transcript (and modify it if it's not accurate)
cut_off_sec
number
3.01
The first seconds of the original audio that are used for zero-shot text-to-speech (TTS). 3 sec of reference is generally enough for high quality voice cloning, but longer is generally better, try e.g. 3~6 sec
orig_transcript_until_cutoff_time
string
Transcript of the original audio file until the cut_off_sec specified above. This process will be improved and made automatically later
target_transcript
string
Transcript of the target audio file
temperature
number
1

Min: 0.01

Max: 5

Adjusts randomness of outputs, greater than 1 is random and 0 is deterministic, 0.75 is a good starting value.
top_p
number
0.8

Max: 1

When decoding text, samples from the top p percentage of most likely tokens; lower to ignore less likely tokens
sampling_rate
integer
16000
Specify the sampling rate of the audio codec
seed
integer
Random seed. Leave blank to randomize the seed

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}