fasr-enhancement-dtln
英文文档地址: README_EN.md
DTLN 音频增强插件。该插件内置 model_1.onnx 和 model_2.onnx，并通过
统一的 EnhancementModel 接口同时提供离线 enhance() 和流式
push_chunk() 降噪能力。
安装
pip install fasr-enhancement-dtln
注册模型
| 注册名 | 类 | 适用场景 |
|---|---|---|
dtln |
DTLNEnhancement |
轻量 CPU 离线与实时降噪 |
使用方式
from fasr.data import Waveform
from fasr_enhancement_dtln import DTLNEnhancement
model = DTLNEnhancement(sample_rate=16000)
enhanced = model.enhance(Waveform(data=audio, sample_rate=16000))
流式用法：
from fasr.data import AudioChunk, Waveform
from fasr_enhancement_dtln import DTLNEnhancement
model = DTLNEnhancement(sample_rate=16000)
for enhanced_chunk in model.push_chunk(
AudioChunk(
stream_id="demo",
waveform=Waveform(data=audio, sample_rate=16000),
is_last=True,
)
):
print(enhanced_chunk.waveform.data.shape)
Confection 配置
[enhancement_model]
@enhancement_models = "dtln"
sample_rate = 16000
providers = ["CPUExecutionProvider"]
intra_op_num_threads = 1
inter_op_num_threads = 1
参数
| 参数 | 类型 | 默认值 | 说明 |
|---|---|---|---|
sample_rate |
int |
16000 |
输出采样率 |
model_1_path |
str | None |
None |
可选覆盖内置 stage-1 ONNX 模型路径 |
model_2_path |
str | None |
None |
可选覆盖内置 stage-2 ONNX 模型路径 |
providers |
list[str] |
["CPUExecutionProvider"] |
ONNX Runtime providers |
intra_op_num_threads |
int >= 1 |
1 |
显式设置 ORT intra-op 线程数，服务端推荐开启以避免默认绑核告警 |
inter_op_num_threads |
int >= 1 |
1 |
显式设置 ORT inter-op 线程数，服务端推荐开启以避免默认绑核告警 |
dtln_sample_rate |
int |
16000 |
DTLN 内部采样率，当前仅支持 16 kHz |
Realtime 状态
当前版本同时支持离线 enhance() 和流式 push_chunk()。两条路径共享同一套
512-sample block / 128-sample hop 的状态化 DTLN 推理循环，以优先保证 batch
与 streaming 输出的一致性。
1 maintainer
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