Add Python API for speech enhancement GTCRN models (#1978)

@@ -8,6 +8,13 @@ log() {
   echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*"
 }
 
+log "test offline speech enhancement (GTCRN)"
+
+curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speech-enhancement-models/gtcrn_simple.onnx
+curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/speech-enhancement-models/speech_with_noise.wav
+python3 ./python-api-examples/offline-speech-enhancement-gtcrn.py
+ls -lh *.wav
+
 log "test offline zipformer (byte-level bpe, Chinese+English)"
 curl -SL -O https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models/sherpa-onnx-zipformer-zh-en-2023-11-22.tar.bz2
 tar xvf sherpa-onnx-zipformer-zh-en-2023-11-22.tar.bz2

+#!/usr/bin/env python3
+
+"""
+This file shows how to use the speech enhancement API.
+
+Please download files used this script from
+https://github.com/k2-fsa/sherpa-onnx/releases/tag/speech-enhancement-models
+
+Example:
+
+ wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speech-enhancement-models/gtcrn_simple.onnx
+ wget https://github.com/k2-fsa/sherpa-onnx/releases/download/speech-enhancement-models/speech_with_noise.wav
+"""
+
+import time
+from pathlib import Path
+from typing import Tuple
+
+import numpy as np
+import sherpa_onnx
+import soundfile as sf
+
+
+def create_speech_denoiser():
+    model_filename = "./gtcrn_simple.onnx"
+    if not Path(model_filename).is_file():
+        raise ValueError(
+            "Please first download a model from "
+            "https://github.com/k2-fsa/sherpa-onnx/releases/tag/speech-enhancement-models"
+        )
+
+    config = sherpa_onnx.OfflineSpeechDenoiserConfig(
+        model=sherpa_onnx.OfflineSpeechDenoiserModelConfig(
+            gtcrn=sherpa_onnx.OfflineSpeechDenoiserGtcrnModelConfig(
+                model=model_filename
+            ),
+            debug=False,
+            num_threads=1,
+            provider="cpu",
+        )
+    )
+    if not config.validate():
+        print(config)
+        raise ValueError("Errors in config. Please check previous error logs")
+    return sherpa_onnx.OfflineSpeechDenoiser(config)
+
+
+def load_audio(filename: str) -> Tuple[np.ndarray, int]:
+    data, sample_rate = sf.read(
+        filename,
+        always_2d=True,
+        dtype="float32",
+    )
+    data = data[:, 0]  # use only the first channel
+    samples = np.ascontiguousarray(data)
+    return samples, sample_rate
+
+
+def main():
+    sd = create_speech_denoiser()
+    test_wave = "./speech_with_noise.wav"
+    if not Path(test_wave).is_file():
+        raise ValueError(
+            f"{test_wave} does not exist. You can download it from "
+            "https://github.com/k2-fsa/sherpa-onnx/releases/tag/speech-enhancement-models"
+        )
+
+    samples, sample_rate = load_audio(test_wave)
+
+    start = time.time()
+    denoised = sd(samples, sample_rate)
+    end = time.time()
+
+    elapsed_seconds = end - start
+    audio_duration = len(samples) / sample_rate
+    real_time_factor = elapsed_seconds / audio_duration
+
+    sf.write("./enhanced_16k.wav", denoised.samples, denoised.sample_rate)
+    print("Saved to ./enhanced_16k.wav")
+    print(f"Elapsed seconds: {elapsed_seconds:.3f}")
+    print(f"Audio duration in seconds: {audio_duration:.3f}")
+    print(f"RTF: {elapsed_seconds:.3f}/{audio_duration:.3f} = {real_time_factor:.3f}")
+
+
+if __name__ == "__main__":
+    main()

@@ -12,6 +12,7 @@ namespace sherpa_onnx {
 
 struct OfflineSpeechDenoiserGtcrnModelConfig {
   std::string model;
+  OfflineSpeechDenoiserGtcrnModelConfig() = default;
 
   void Register(ParseOptions *po);
   bool Validate() const;

@@ -18,6 +18,9 @@ set(srcs
   offline-punctuation.cc
   offline-recognizer.cc
   offline-sense-voice-model-config.cc
+  offline-speech-denoiser-gtcrn-model-config.cc
+  offline-speech-denoiser-model-config.cc
+  offline-speech-denoiser.cc
   offline-stream.cc
   offline-tdnn-model-config.cc
   offline-transducer-model-config.cc

+// sherpa-onnx/python/csrc/offline-speech-denoiser-gtcrn-model-config.cc
+//
+// Copyright (c)  2025  Xiaomi Corporation
+
+#include "sherpa-onnx/python/csrc/offline-speech-denoiser-gtcrn-model-config.h"
+
+#include <string>
+
+#include "sherpa-onnx/csrc/offline-speech-denoiser-gtcrn-model-config.h"
+
+namespace sherpa_onnx {
+
+void PybindOfflineSpeechDenoiserGtcrnModelConfig(py::module *m) {
+  using PyClass = OfflineSpeechDenoiserGtcrnModelConfig;
+  py::class_<PyClass>(*m, "OfflineSpeechDenoiserGtcrnModelConfig")
+      .def(py::init<const std::string &>(), py::arg("model") = "")
+      .def_readwrite("model", &PyClass::model)
+      .def("validate", &PyClass::Validate)
+      .def("__str__", &PyClass::ToString);
+}
+
+}  // namespace sherpa_onnx

+// sherpa-onnx/python/csrc/offline-speech-denoiser-gtcrn-model-config.h
+//
+// Copyright (c)  2025  Xiaomi Corporation
+
+#ifndef SHERPA_ONNX_PYTHON_CSRC_OFFLINE_SPEECH_DENOISER_GTCRN_MODEL_CONFIG_H_
+#define SHERPA_ONNX_PYTHON_CSRC_OFFLINE_SPEECH_DENOISER_GTCRN_MODEL_CONFIG_H_
+
+#include "sherpa-onnx/python/csrc/sherpa-onnx.h"
+
+namespace sherpa_onnx {
+
+void PybindOfflineSpeechDenoiserGtcrnModelConfig(py::module *m);
+
+}
+
+#endif  // SHERPA_ONNX_PYTHON_CSRC_OFFLINE_SPEECH_DENOISER_GTCRN_MODEL_CONFIG_H_

+// sherpa-onnx/python/csrc/offline-speech-denoiser-model-config.cc
+//
+// Copyright (c)  2025  Xiaomi Corporation
+
+#include "sherpa-onnx/python/csrc/offline-speech-denoiser-model-config.h"
+
+#include <string>
+
+#include "sherpa-onnx/csrc/offline-speech-denoiser-model-config.h"
+#include "sherpa-onnx/python/csrc/offline-speech-denoiser-gtcrn-model-config.h"
+
+namespace sherpa_onnx {
+
+void PybindOfflineSpeechDenoiserModelConfig(py::module *m) {
+  PybindOfflineSpeechDenoiserGtcrnModelConfig(m);
+
+  using PyClass = OfflineSpeechDenoiserModelConfig;
+  py::class_<PyClass>(*m, "OfflineSpeechDenoiserModelConfig")
+      .def(py::init<>())
+      .def(py::init<const OfflineSpeechDenoiserGtcrnModelConfig &, int32_t,
+                    bool, const std::string &>(),
+           py::arg("gtcrn") = OfflineSpeechDenoiserGtcrnModelConfig{},
+           py::arg("num_threads") = 1, py::arg("debug") = false,
+           py::arg("provider") = "cpu")
+      .def_readwrite("gtcrn", &PyClass::gtcrn)
+      .def_readwrite("num_threads", &PyClass::num_threads)
+      .def_readwrite("debug", &PyClass::debug)
+      .def_readwrite("provider", &PyClass::provider)
+      .def("validate", &PyClass::Validate)
+      .def("__str__", &PyClass::ToString);
+}
+
+}  // namespace sherpa_onnx

+// sherpa-onnx/python/csrc/offline-speech-denoiser-model-config.h
+//
+// Copyright (c)  2025  Xiaomi Corporation
+
+#ifndef SHERPA_ONNX_PYTHON_CSRC_OFFLINE_SPEECH_DENOISER_MODEL_CONFIG_H_
+#define SHERPA_ONNX_PYTHON_CSRC_OFFLINE_SPEECH_DENOISER_MODEL_CONFIG_H_
+
+#include "sherpa-onnx/python/csrc/sherpa-onnx.h"
+
+namespace sherpa_onnx {
+
+void PybindOfflineSpeechDenoiserModelConfig(py::module *m);
+
+}
+
+#endif  // SHERPA_ONNX_PYTHON_CSRC_OFFLINE_SPEECH_DENOISER_MODEL_CONFIG_H_

+// sherpa-onnx/python/csrc/offline-speech-denoiser.cc
+//
+// Copyright (c)  2025  Xiaomi Corporation
+
+#include "sherpa-onnx/python/csrc/offline-speech-denoiser.h"
+
+#include <vector>
+
+#include "sherpa-onnx/csrc/offline-speech-denoiser.h"
+#include "sherpa-onnx/python/csrc/offline-speech-denoiser-model-config.h"
+
+namespace sherpa_onnx {
+
+void PybindOfflineSpeechDenoiserConfig(py::module *m) {
+  PybindOfflineSpeechDenoiserModelConfig(m);
+
+  using PyClass = OfflineSpeechDenoiserConfig;
+
+  py::class_<PyClass>(*m, "OfflineSpeechDenoiserConfig")
+      .def(py::init<>())
+      .def(py::init<const OfflineSpeechDenoiserModelConfig &>(),
+           py::arg("model") = OfflineSpeechDenoiserModelConfig{})
+      .def_readwrite("model", &PyClass::model)
+      .def("validate", &PyClass::Validate)
+      .def("__str__", &PyClass::ToString);
+}
+
+void PybindDenoisedAudio(py::module *m) {
+  using PyClass = DenoisedAudio;
+  py::class_<PyClass>(*m, "DenoisedAudio")
+      .def_property_readonly(
+          "sample_rate", [](const PyClass &self) { return self.sample_rate; })
+      .def_property_readonly("samples",
+                             [](const PyClass &self) { return self.samples; });
+}
+
+void PybindOfflineSpeechDenoiser(py::module *m) {
+  PybindOfflineSpeechDenoiserConfig(m);
+  PybindDenoisedAudio(m);
+  using PyClass = OfflineSpeechDenoiser;
+  py::class_<PyClass>(*m, "OfflineSpeechDenoiser")
+      .def(py::init<const OfflineSpeechDenoiserConfig &>(), py::arg("config"),
+           py::call_guard<py::gil_scoped_release>())
+      .def(
+          "__call__",
+          [](const PyClass &self, const std::vector<float> &samples,
+             int32_t sample_rate) {
+            return self.Run(samples.data(), samples.size(), sample_rate);
+          },
+          py::call_guard<py::gil_scoped_release>())
+      .def(
+          "run",
+          [](const PyClass &self, const std::vector<float> &samples,
+             int32_t sample_rate) {
+            return self.Run(samples.data(), samples.size(), sample_rate);
+          },
+          py::call_guard<py::gil_scoped_release>())
+      .def_property_readonly("sample_rate", &PyClass::GetSampleRate);
+}
+
+}  // namespace sherpa_onnx

+// sherpa-onnx/python/csrc/offline-speech-denoiser.h
+//
+// Copyright (c)  2025  Xiaomi Corporation
+
+#ifndef SHERPA_ONNX_PYTHON_CSRC_OFFLINE_SPEECH_DENOISER_H_
+#define SHERPA_ONNX_PYTHON_CSRC_OFFLINE_SPEECH_DENOISER_H_
+
+#include "sherpa-onnx/python/csrc/sherpa-onnx.h"
+
+namespace sherpa_onnx {
+
+void PybindOfflineSpeechDenoiser(py::module *m);
+
+}
+
+#endif  // SHERPA_ONNX_PYTHON_CSRC_OFFLINE_SPEECH_DENOISER_H_

@@ -16,6 +16,7 @@
 #include "sherpa-onnx/python/csrc/offline-model-config.h"
 #include "sherpa-onnx/python/csrc/offline-punctuation.h"
 #include "sherpa-onnx/python/csrc/offline-recognizer.h"
+#include "sherpa-onnx/python/csrc/offline-speech-denoiser.h"
 #include "sherpa-onnx/python/csrc/offline-stream.h"
 #include "sherpa-onnx/python/csrc/online-ctc-fst-decoder-config.h"
 #include "sherpa-onnx/python/csrc/online-lm-config.h"
@@ -87,6 +88,7 @@ PYBIND11_MODULE(_sherpa_onnx, m) {
 #endif
 
   PybindAlsa(&m);
+  PybindOfflineSpeechDenoiser(&m);
 }
 
 }  // namespace sherpa_onnx

@@ -5,6 +5,7 @@ from _sherpa_onnx import (
     AudioTaggingConfig,
     AudioTaggingModelConfig,
     CircularBuffer,
+    DenoisedAudio,
     Display,
     FastClustering,
     FastClusteringConfig,
@@ -17,6 +18,10 @@ from _sherpa_onnx import (
     OfflineSpeakerDiarizationSegment,
     OfflineSpeakerSegmentationModelConfig,
     OfflineSpeakerSegmentationPyannoteModelConfig,
+    OfflineSpeechDenoiser,
+    OfflineSpeechDenoiserConfig,
+    OfflineSpeechDenoiserGtcrnModelConfig,
+    OfflineSpeechDenoiserModelConfig,
     OfflineStream,
     OfflineTts,
     OfflineTtsConfig,