Fish TTS API Fails to Match Reference Audio Tone and Style

[Paxurux]

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Environment Details

Environment Details
Operating System: Windows 11 (fully updated)
Processor: Intel Core i5 13th Gen
GPU: NVIDIA RTX 4050
Python Version: Python 3.12
Relevant Libraries and Versions:
torch: 2.4.1
Gradio: 4.44.0
pydub: Latest version installed via pip
ffmpeg: Installed and accessible via system PATH (version: 2024-08-01-git)

Steps to Reproduce

Install Fish TTS and dependencies as per the documentation.
Run the following code to use the Fish TTS API:
i have included the file for the code at the end of the document

from gradio_client import Client, handle_file

client = Client("http://127.0.0.1:7860/")
result = client.predict(
text="This is a test input.",
normalize=True,
reference_id="test_reference",
reference_audio=handle_file(r"C:\Users\ashu4\Music\Sound\final_new_vocal.wav"),
reference_text="",
max_new_tokens=0,
chunk_length=200,
top_p=0.7,
repetition_penalty=1.2,
temperature=0.7,
seed=0,
use_memory_cache="on",
api_name="/partial"
)
print(result)
Observe the results:
The generated audio chunks do not match the tone, speed, or style of the provided reference audio.
In some cases, the first chunk is synthesized as a female voice and the second as a male voice.
Stitch the chunks using the following code:
python
Copy
Edit
from pydub import AudioSegment

final_audio = AudioSegment.empty()
for chunk_path in ["chunk1.wav", "chunk2.wav"]: # Replace with actual chunk paths
final_audio += AudioSegment.from_file(chunk_path)
final_audio.export("final_output.wav", format="wav")
The final output is inconsistent and does not replicate the reference audio style.

fish.py.txt

✔️ Expected Behavior

The generated audio should replicate the tone, speed, and style of the reference audio provided in the reference_audio parameter.
All audio chunks should be consistent in voice, tone, and style.

❌ Actual Behavior

The generated audio:
Does not match the tone, speed, or style of the provided reference audio.
Is inconsistent between chunks (e.g., one chunk is in a male voice, another in a female voice).
When running the same input in the Gradio UI, the results are far better and match the reference audio, indicating that the API may not be fully utilizing GPU resources or properly processing the reference audio.

[ANTON728]

try putting reference_id=“”. and it seemed to work for me.

[dsdbelynn]

I encountered the same error. I used the model "7f92f8afb8ec43bf81429cc1c9199cb1", but the voice tone returned is different every time, and there's even a male voice.

[chaopengio]

Same here. I use version 1.5, and the first half voice is male which is not correct, the second half is female which is right.

[Prsaro]

same here.

[lymanzhao]

v1.5,same here,Is this problem solved?

[smile-yushu]

Is there a way to fix one tone

[lymanzhao]

reference_id =“”, it is work

[shigabeev]

reference_id = '' is not the solution.

you guys are just passing no speaker to the input.

https://github.com/Picus303/fish-speech/blob/0529fc39171ffefff00913870bb031ccb948a2b5/fish_speech/inference_engine/__init__.py#L52-L63

        ref_id: str | None = req.reference_id
        prompt_tokens, prompt_texts = [], []
        # Load the reference audio and text based on id, hash, or preprocessed references
        if ref_id is not None:
            prompt_tokens, prompt_texts = self.load_by_id(ref_id, req.use_memory_cache)

        elif req.references:
            prompt_tokens, prompt_texts = self.load_by_hash(
                req.references, req.use_memory_cache
            )

[brandlylooper]

My cloned voice sounds like me (the timbre is correct), but tonality and rhythm are completely off - it has a flat, monotone delivery, regardless of the settings.

I have trained the API with 25 clean samples, with no background noise, and consistent levels of my voice, but the output is never the same and never matches my true voice.

Does anyone have suggestions on how to achieve consistent output?

Thank you.