working streaming example

This commit is contained in:
harryjulian
2025-10-08 14:22:26 +01:00
parent 7c97519a54
commit 302f3e6228
4 changed files with 21 additions and 6 deletions

View File

@@ -110,7 +110,7 @@ from neuttsair.neutts import NeuTTSAir
import soundfile as sf
tts = NeuTTSAir(
backbone_repo="neuphonic/neutts-air", # or 'neutts-air-q4-gguf' wit llama-cpp-python installed
backbone_repo="neuphonic/neutts-air", # or 'neutts-air-q4-gguf' with llama-cpp-python installed
backbone_device="cpu",
codec_repo="neuphonic/neucodec",
codec_device="cpu"

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@@ -35,4 +35,16 @@ python -m examples.onnx_example \
--ref_codes samples/dave.pt \
--ref_text samples/dave.txt \
--backbone neuphonic/neutts-air-q4-gguf
```
```
### Streaming Support
To stream the model output in chunks, try out the `onnx_streaming.py` example. For streaming, only the GGUF backends are currently supported. Ensure you have `llama-cpp-pyhon`, `onnxruntime` and `pyaudio` installed to run this example.
```bash
python -m examples.onnx_example_streaming \
--input_text "My name is Dave, and um, I'm from London" \
--ref_codes samples/dave.pt \
--ref_text samples/dave.txt \
--backbone neuphonic/neutts-air-q4-gguf
```

View File

@@ -5,6 +5,9 @@ import numpy as np
from neuttsair.neutts import NeuTTSAir
import pyaudio
from phonemizer.backend.espeak.wrapper import EspeakWrapper
_ESPEAK_LIBRARY = '/opt/homebrew/Cellar/espeak/1.48.04_1/lib/libespeak.1.1.48.dylib' #use the Path to the library.
EspeakWrapper.set_library(_ESPEAK_LIBRARY)
def main(input_text, ref_codes_path, ref_text, backbone):
assert backbone in ["neuphonic/neutts-air-q4-gguf", "neuphonic/neutts-air-q8-gguf"], "Must be a GGUF ckpt as streaming only supported by llama-cpp."
@@ -36,7 +39,7 @@ def main(input_text, ref_codes_path, ref_text, backbone):
print("Streaming...")
for chunk in tts.infer_stream(input_text, ref_codes, ref_text):
audio = (chunk * 32767).astype(np.int16)
print(audio)
print(audio.shape)
stream.write(audio.tobytes())
stream.stop_stream()

View File

@@ -53,9 +53,9 @@ class NeuTTSAir:
self.max_context = 2048
self.hop_length = 480
self.streaming_overlap_frames = 1
self.streaming_frames_per_chunk = 15
self.streaming_lookforward = 50
self.streaming_lookback = 150
self.streaming_frames_per_chunk = 25
self.streaming_lookforward = 5
self.streaming_lookback = 50
self.streaming_stride_samples = self.streaming_frames_per_chunk * self.hop_length
# ggml & onnx flags