[feat][assistant][I3J6TW] add new data operator BassBiquad

mindspore/ccsrc/minddata/dataset/api/audio.cc

@@ -20,6 +20,7 @@
 #include "minddata/dataset/audio/ir/kernels/band_biquad_ir.h"
 #include "minddata/dataset/audio/ir/kernels/bandpass_biquad_ir.h"
 #include "minddata/dataset/audio/ir/kernels/bandreject_biquad_ir.h"
+#include "minddata/dataset/audio/ir/kernels/bass_biquad_ir.h"
 
 namespace mindspore {
 namespace dataset {
@@ -91,6 +92,23 @@ BandrejectBiquad::BandrejectBiquad(int32_t sample_rate, float central_freq, floa
 std::shared_ptr<TensorOperation> BandrejectBiquad::Parse() {
   return std::make_shared<BandrejectBiquadOperation>(data_->sample_rate_, data_->central_freq_, data_->Q_);
 }
+
+// BassBiquad Transform Operation.
+struct BassBiquad::Data {
+  Data(int32_t sample_rate, float gain, float central_freq, float Q)
+      : sample_rate_(sample_rate), gain_(gain), central_freq_(central_freq), Q_(Q) {}
+  int32_t sample_rate_;
+  float gain_;
+  float central_freq_;
+  float Q_;
+};
+
+BassBiquad::BassBiquad(int32_t sample_rate, float gain, float central_freq, float Q)
+    : data_(std::make_shared<Data>(sample_rate, gain, central_freq, Q)) {}
+
+std::shared_ptr<TensorOperation> BassBiquad::Parse() {
+  return std::make_shared<BassBiquadOperation>(data_->sample_rate_, data_->gain_, data_->central_freq_, data_->Q_);
+}
 }  // namespace audio
 }  // namespace dataset
 }  // namespace mindspore

mindspore/ccsrc/minddata/dataset/api/python/bindings/dataset/audio/kernels/ir/bindings.cc

@@ -21,6 +21,7 @@
 #include "minddata/dataset/audio/ir/kernels/band_biquad_ir.h"
 #include "minddata/dataset/audio/ir/kernels/bandpass_biquad_ir.h"
 #include "minddata/dataset/audio/ir/kernels/bandreject_biquad_ir.h"
+#include "minddata/dataset/audio/ir/kernels/bass_biquad_ir.h"
 #include "minddata/dataset/include/dataset/transforms.h"
 
 namespace mindspore {
@@ -69,5 +70,16 @@ PYBIND_REGISTER(BandrejectBiquadOperation, 1, ([](const py::module *m) {
                     }));
                 }));
 
+PYBIND_REGISTER(
+  BassBiquadOperation, 1, ([](const py::module *m) {
+    (void)py::class_<audio::BassBiquadOperation, TensorOperation, std::shared_ptr<audio::BassBiquadOperation>>(
+      *m, "BassBiquadOperation")
+      .def(py::init([](int32_t sample_rate, float gain, float central_freq, float Q) {
+        auto bass_biquad = std::make_shared<audio::BassBiquadOperation>(sample_rate, gain, central_freq, Q);
+        THROW_IF_ERROR(bass_biquad->ValidateParams());
+        return bass_biquad;
+      }));
+  }));
+
 }  // namespace dataset
 }  // namespace mindspore

mindspore/ccsrc/minddata/dataset/audio/ir/kernels/CMakeLists.txt

@@ -6,4 +6,5 @@ add_library(audio-ir-kernels OBJECT
         band_biquad_ir.cc
         bandpass_biquad_ir.cc
         bandreject_biquad_ir.cc
+        bass_biquad_ir.cc
         )

mindspore/ccsrc/minddata/dataset/audio/ir/kernels/bass_biquad_ir.cc

@@ -0,0 +1,52 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "minddata/dataset/audio/ir/kernels/bass_biquad_ir.h"
+
+#include "minddata/dataset/audio/kernels/bass_biquad_op.h"
+
+#include "minddata/dataset/audio/ir/validators.h"
+
+namespace mindspore {
+namespace dataset {
+namespace audio {
+
+// BassBiquadOperation
+BassBiquadOperation::BassBiquadOperation(int32_t sample_rate, float gain, float central_freq, float Q)
+    : sample_rate_(sample_rate), gain_(gain), central_freq_(central_freq), Q_(Q) {}
+
+Status BassBiquadOperation::ValidateParams() {
+  RETURN_IF_NOT_OK(ValidateScalar("BassBiquad", "Q", Q_, {0, 1.0}, true, false));
+  RETURN_IF_NOT_OK(CheckScalarNotZero("BassBiquad", "sample_rate", sample_rate_));
+  return Status::OK();
+}
+
+std::shared_ptr<TensorOp> BassBiquadOperation::Build() {
+  std::shared_ptr<BassBiquadOp> tensor_op = std::make_shared<BassBiquadOp>(sample_rate_, gain_, central_freq_, Q_);
+  return tensor_op;
+}
+Status BassBiquadOperation::to_json(nlohmann::json *out_json) {
+  nlohmann::json args;
+  args["sample_rate"] = sample_rate_;
+  args["gain"] = gain_;
+  args["central_freq"] = central_freq_;
+  args["Q"] = Q_;
+  *out_json = args;
+  return Status::OK();
+}
+}  // namespace audio
+}  // namespace dataset
+}  // namespace mindspore

mindspore/ccsrc/minddata/dataset/audio/ir/kernels/bass_biquad_ir.h

@@ -0,0 +1,61 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_AUDIO_IR_KERNELS_BASS_BIQUAD_IR_H_
+#define MINDSPORE_CCSRC_MINDDATA_DATASET_AUDIO_IR_KERNELS_BASS_BIQUAD_IR_H_
+
+#include <memory>
+#include <string>
+#include <utility>
+#include <vector>
+
+#include "include/api/status.h"
+#include "minddata/dataset/include/dataset/constants.h"
+#include "minddata/dataset/include/dataset/transforms.h"
+#include "minddata/dataset/kernels/ir/tensor_operation.h"
+
+namespace mindspore {
+namespace dataset {
+namespace audio {
+
+// Char arrays storing name of corresponding classes (in alphabetical order)
+constexpr char kBassBiquadOperation[] = "BassBiquad";
+
+class BassBiquadOperation : public TensorOperation {
+ public:
+  explicit BassBiquadOperation(int32_t sample_rate, float gain, float central_freq, float Q);
+
+  ~BassBiquadOperation() = default;
+
+  std::shared_ptr<TensorOp> Build() override;
+
+  Status ValidateParams() override;
+
+  std::string Name() const override { return kBassBiquadOperation; }
+
+  Status to_json(nlohmann::json *out_json) override;
+
+ private:
+  int32_t sample_rate_;
+  float gain_;
+  float central_freq_;
+  float Q_;
+};
+
+}  // namespace audio
+}  // namespace dataset
+}  // namespace mindspore
+#endif  // MINDSPORE_CCSRC_MINDDATA_DATASET_AUDIO_IR_KERNELS_BASS_BIQUAD_IR_H_

mindspore/ccsrc/minddata/dataset/audio/kernels/CMakeLists.txt

@@ -6,4 +6,5 @@ add_library(audio-kernels OBJECT
         band_biquad_op.cc
         bandpass_biquad_op.cc
         bandreject_biquad_op.cc
+        bass_biquad_op.cc
         )

mindspore/ccsrc/minddata/dataset/audio/kernels/bass_biquad_op.cc

@@ -0,0 +1,61 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+#include "minddata/dataset/audio/kernels/bass_biquad_op.h"
+
+#include "minddata/dataset/audio/kernels/audio_utils.h"
+#include "minddata/dataset/util/status.h"
+
+namespace mindspore {
+namespace dataset {
+
+Status BassBiquadOp::Compute(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output) {
+  IO_CHECK(input, output);
+  TensorShape input_shape = input->shape();
+  CHECK_FAIL_RETURN_UNEXPECTED(input_shape.Size() > 0, "BassBiquad: input dimension should be greater than 0.");
+  // check input type, it should be DE_FLOAT32 or DE_FLOAT16 or DE_FLOAT64
+  CHECK_FAIL_RETURN_UNEXPECTED(input->type() == DataType(DataType::DE_FLOAT32) ||
+                                 input->type() == DataType(DataType::DE_FLOAT16) ||
+                                 input->type() == DataType(DataType::DE_FLOAT64),
+                               "BassBiquad: input type should be float, but got " + input->type().ToString());
+
+  double w0 = 2 * PI * central_freq_ / sample_rate_;
+  double alpha = sin(w0) / 2 / Q_;
+  double A = exp(gain_ / 40 * log(10));
+
+  double temp1 = 2 * sqrt(A) * alpha;
+  double temp2 = (A - 1) * cos(w0);
+  double temp3 = (A + 1) * cos(w0);
+
+  double b0 = A * ((A + 1) - temp2 + temp1);
+  double b1 = 2 * A * ((A - 1) - temp3);
+  double b2 = A * ((A + 1) - temp2 - temp1);
+  double a0 = (A + 1) + temp2 + temp1;
+  double a1 = -2 * ((A - 1) + temp3);
+  double a2 = (A + 1) + temp2 - temp1;
+  if (input->type() == DataType(DataType::DE_FLOAT32))
+    return Biquad(input, output, static_cast<float>(b0 / a0), static_cast<float>(b1 / a0), static_cast<float>(b2 / a0),
+                  static_cast<float>(1.0), static_cast<float>(a1 / a0), static_cast<float>(a2 / a0));
+  else if (input->type() == DataType(DataType::DE_FLOAT64))
+    return Biquad(input, output, static_cast<double>(b0 / a0), static_cast<double>(b1 / a0),
+                  static_cast<double>(b2 / a0), static_cast<double>(1.0), static_cast<double>(a1 / a0),
+                  static_cast<double>(a2 / a0));
+  else
+    return Biquad(input, output, static_cast<float16>(b0 / a0), static_cast<float16>(b1 / a0),
+                  static_cast<float16>(b2 / a0), static_cast<float16>(1.0), static_cast<float16>(a1 / a0),
+                  static_cast<float16>(a2 / a0));
+}
+}  // namespace dataset
+}  // namespace mindspore

mindspore/ccsrc/minddata/dataset/audio/kernels/bass_biquad_op.h

@@ -0,0 +1,54 @@
+/**
+ * Copyright 2021 Huawei Technologies Co., Ltd
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#ifndef MINDSPORE_CCSRC_MINDDATA_DATASET_AUDIO_KERNELS_BASS_BIQUAD_OP_H_
+#define MINDSPORE_CCSRC_MINDDATA_DATASET_AUDIO_KERNELS_BASS_BIQUAD_OP_H_
+
+#include <memory>
+#include <string>
+#include <vector>
+
+#include "minddata/dataset/core/tensor.h"
+#include "minddata/dataset/kernels/tensor_op.h"
+#include "minddata/dataset/util/status.h"
+
+namespace mindspore {
+namespace dataset {
+class BassBiquadOp : public TensorOp {
+ public:
+  BassBiquadOp(int32_t sample_rate, float gain, float central_freq, float Q)
+      : sample_rate_(sample_rate), gain_(gain), central_freq_(central_freq), Q_(Q) {}
+
+  ~BassBiquadOp() override = default;
+
+  void Print(std::ostream &out) const override {
+    out << Name() << ": sample_rate: " << sample_rate_ << ", gain:" << gain_ << ", central_freq: " << central_freq_
+        << ", Q: " << Q_ << std::endl;
+  }
+
+  Status Compute(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output) override;
+
+  std::string Name() const override { return kBassBiquadOp; }
+
+ private:
+  int32_t sample_rate_;
+  float gain_;
+  float central_freq_;
+  float Q_;
+};
+}  // namespace dataset
+}  // namespace mindspore
+#endif  // MINDSPORE_CCSRC_MINDDATA_DATASET_AUDIO_KERNELS_BASS_BIQUAD_OP_H_

mindspore/ccsrc/minddata/dataset/include/dataset/audio.h

@@ -124,6 +124,28 @@ class BandrejectBiquad final : public TensorTransform {
   std::shared_ptr<Data> data_;
 };
 
+/// \brief Design a bass tone-control effect.
+class BassBiquad final : public TensorTransform {
+ public:
+  /// \brief Constructor.
+  /// \param[in] sample_rate Sampling rate of the waveform, e.g. 44100 (Hz).
+  /// \param[in] gain Desired gain at the boost (or attenuation) in dB.
+  /// \param[in] central_freq Central frequency (in Hz).
+  /// \param[in] Q https://en.wikipedia.org/wiki/Q_factor (Default: 0.707).
+  explicit BassBiquad(int32_t sample_rate, float gain, float central_freq = 100, float Q = 0.707);
+
+  /// \brief Destructor.
+  ~BassBiquad() = default;
+
+ protected:
+  /// \brief Function to convert TensorTransform object into a TensorOperation object.
+  /// \return Shared pointer to TensorOperation object.
+  std::shared_ptr<TensorOperation> Parse() override;
+
+ private:
+  struct Data;
+  std::shared_ptr<Data> data_;
+};
 }  // namespace audio
 }  // namespace dataset
 }  // namespace mindspore

mindspore/ccsrc/minddata/dataset/kernels/tensor_op.h

@@ -141,6 +141,7 @@ constexpr char kAllpassBiquadOp[] = "AllpassBiquadOp";
 constexpr char kBandBiquadOp[] = "BandBiquadOp";
 constexpr char kBandpassBiquadOp[] = "BandpassBiquadOp";
 constexpr char kBandrejectBiquadOp[] = "BandrejectBiquadOp";
+constexpr char kBassBiquadOp[] = "BassBiquadOp";
 
 // data
 constexpr char kConcatenateOp[] = "ConcatenateOp";

mindspore/dataset/audio/transforms.py

@@ -20,7 +20,8 @@ to improve their training models.
 import mindspore._c_dataengine as cde
 import numpy as np
 from ..transforms.c_transforms import TensorOperation
-from .validators import check_allpass_biquad, check_band_biquad, check_bandpass_biquad, check_bandreject_biquad
+from .validators import check_allpass_biquad, check_band_biquad, check_bandpass_biquad, check_bandreject_biquad, \
+    check_bass_biquad
 
 
 class AudioTensorOperation(TensorOperation):
@@ -163,3 +164,32 @@ class BandrejectBiquad(AudioTensorOperation):
 
     def parse(self):
         return cde.BandrejectBiquadOperation(self.sample_rate, self.central_freq, self.Q)
+
+
+class BassBiquad(AudioTensorOperation):
+    """
+    Design a bass tone-control effect for audio waveform of dimension of `(..., time)`
+
+    Args:
+        sample_rate (int): sampling rate of the waveform, e.g. 44100 (Hz)
+        gain (float): desired gain at the boost (or attenuation) in dB.
+        central_freq (float): central frequency (in Hz)(Default=100.0).
+        Q(float, optional): Quality factor, https://en.wikipedia.org/wiki/Q_factor, Range: (0, 1] (Default=0.707).
+
+    Examples:
+        >>> import mindspore.dataset.audio.transforms as audio
+        >>> import numpy as np
+
+        >>> waveform = np.array([[2.716064453125e-03, 6.34765625e-03],[9.246826171875e-03, 1.0894775390625e-02]])
+        >>> bass_biquad_op = audio.BassBiquad(44100, 100.0)
+        >>> waveform_filtered = bass_biquad_op(waveform)
+    """
+    @check_bass_biquad
+    def __init__(self, sample_rate, gain, central_freq=100.0, Q=0.707):
+        self.sample_rate = sample_rate
+        self.gain = gain
+        self.central_freq = central_freq
+        self.Q = Q
+
+    def parse(self):
+        return cde.BassBiquadOperation(self.sample_rate, self.gain, self.central_freq, self.Q)

mindspore/dataset/audio/validators.py

@@ -49,6 +49,12 @@ def check_biquad_const_skirt_gain(const_skirt_gain):
     type_check(const_skirt_gain, (bool,), "const_skirt_gain")
 
 
+def check_biquad_gain(gain):
+    """Wrapper method to check the parameters of gain."""
+    type_check(gain, (float, int), "gain")
+    check_float32(gain, "gain")
+
+
 def check_band_biquad(method):
     """Wrapper method to check the parameters of BandBiquad."""
 
@@ -109,3 +115,19 @@ def check_bandreject_biquad(method):
         return method(self, *args, **kwargs)
 
     return new_method
+
+
+def check_bass_biquad(method):
+    """Wrapper method to check the parameters of CutMixBatch."""
+
+    @wraps(method)
+    def new_method(self, *args, **kwargs):
+        [sample_rate, gain, central_freq, Q], _ = parse_user_args(
+            method, *args, **kwargs)
+        check_biquad_sample_rate(sample_rate)
+        check_biquad_gain(gain)
+        check_biquad_central_freq(central_freq)
+        check_biquad_Q(Q)
+        return method(self, *args, **kwargs)
+
+    return new_method

tests/ut/cpp/dataset/c_api_audio_a_to_q_test.cc

@@ -301,3 +301,71 @@ TEST_F(MindDataTestPipeline, Level0_TestBandrejectBiquad002) {
   std::shared_ptr<Iterator> iter02 = ds02->CreateIterator();
   EXPECT_EQ(iter02, nullptr);
 }
+
+TEST_F(MindDataTestPipeline, Level0_TestBassBiquad001) {
+  MS_LOG(INFO) << "Basic Function Test";
+  // Original waveform
+  std::shared_ptr<SchemaObj> schema = Schema();
+  ASSERT_OK(schema->add_column("inputData", mindspore::DataType::kNumberTypeFloat32, {2, 200}));
+  std::shared_ptr<Dataset> ds = RandomData(50, schema);
+  EXPECT_NE(ds, nullptr);
+
+  ds = ds->SetNumWorkers(4);
+  EXPECT_NE(ds, nullptr);
+
+  auto BassBiquadOp = audio::BassBiquad(44100,50,200.0);
+
+  ds = ds->Map({BassBiquadOp});
+  EXPECT_NE(ds, nullptr);
+
+  // Filtered waveform by bassbiquad
+  std::shared_ptr<Iterator> iter = ds->CreateIterator();
+  EXPECT_NE(ds, nullptr);
+
+  std::unordered_map<std::string, mindspore::MSTensor> row;
+  ASSERT_OK(iter->GetNextRow(&row));
+
+  std::vector<int64_t> expected = {2, 200};
+
+  int i = 0;
+  while (row.size() != 0) {
+    auto col = row["inputData"];
+    ASSERT_EQ(col.Shape(), expected);
+    ASSERT_EQ(col.Shape().size(), 2);
+    ASSERT_EQ(col.DataType(), mindspore::DataType::kNumberTypeFloat32);
+    ASSERT_OK(iter->GetNextRow(&row));
+    i++;
+  }
+  EXPECT_EQ(i, 50);
+
+  iter->Stop();
+}
+
+TEST_F(MindDataTestPipeline, Level0_TestBassBiquad002) {
+  MS_LOG(INFO) << "Wrong Arg.";
+  std::shared_ptr<SchemaObj> schema = Schema();
+  // Original waveform
+  ASSERT_OK(schema->add_column("inputData", mindspore::DataType::kNumberTypeFloat32, {2, 2}));
+  std::shared_ptr<Dataset> ds = RandomData(50, schema);
+  std::shared_ptr<Dataset> ds01;
+  std::shared_ptr<Dataset> ds02;
+  EXPECT_NE(ds, nullptr);
+
+  // Check sample_rate
+  MS_LOG(INFO) << "sample_rate is zero.";
+  auto bass_biquad_op_01 = audio::BassBiquad(0,50,200.0);
+  ds01 = ds->Map({bass_biquad_op_01});
+  EXPECT_NE(ds01, nullptr);
+
+  std::shared_ptr<Iterator> iter01 = ds01->CreateIterator();
+  EXPECT_EQ(iter01, nullptr);
+
+  // Check Q_
+  MS_LOG(INFO) << "Q_ is zero.";
+  auto bass_biquad_op_02 = audio::BassBiquad(44100,50,200.0,0);
+  ds02 = ds->Map({bass_biquad_op_02});
+  EXPECT_NE(ds02, nullptr);
+
+  std::shared_ptr<Iterator> iter02 = ds02->CreateIterator();
+  EXPECT_EQ(iter02, nullptr);
+}

tests/ut/python/dataset/test_bass_biquad.py

@@ -0,0 +1,117 @@
+# Copyright 2021 Huawei Technologies Co., Ltd
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+import numpy as np
+import pytest
+import mindspore.dataset as ds
+import mindspore.dataset.audio.transforms as audio
+from mindspore import log as logger
+
+
+def _count_unequal_element(data_expected, data_me, rtol, atol):
+
+    assert data_expected.shape == data_me.shape
+    total_count = len(data_expected.flatten())
+    error = np.abs(data_expected - data_me)
+    greater = np.greater(error, atol + np.abs(data_expected) * rtol)
+    loss_count = np.count_nonzero(greater)
+    assert (loss_count / total_count) < rtol, \
+        "\ndata_expected_std:{0}\ndata_me_error:{1}\nloss:{2}". \
+        format(data_expected[greater], data_me[greater], error[greater])
+
+
+def test_func_bass_biquad_eager():
+    """ mindspore eager mode normal testcase:bass_biquad op"""
+
+    # Original waveform
+    waveform = np.array([[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]], dtype=np.float64)
+    # Expect waveform
+    expect_waveform = np.array([[0.10409035359, 0.21652136269, 0.33761211292],
+                                [0.41636141439, 0.55381438997, 0.70088436361]], dtype=np.float64)
+    bass_biquad_op = audio.BassBiquad(44100, 50.0, 100.0, 0.707)
+    # Filtered waveform by bassbiquad
+    output = bass_biquad_op(waveform)
+    _count_unequal_element(expect_waveform, output, 0.0001, 0.0001)
+
+
+def test_func_bass_biquad_pipeline():
+    """ mindspore pipeline mode normal testcase:bass_biquad op"""
+
+    # Original waveform
+    waveform = np.array([[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]], dtype=np.float64)
+    # Expect waveform
+    expect_waveform = np.array([[0.10409035359, 0.21652136269, 0.33761211292],
+                                [0.41636141439, 0.55381438997, 0.70088436361]], dtype=np.float64)
+    label = np.random.sample((2, 1))
+    data = (waveform, label)
+    dataset = ds.NumpySlicesDataset(data, ["channel", "sample"], shuffle=False)
+    bass_biquad_op = audio.BassBiquad(44100, 50, 100.0, 0.707)
+    # Filtered waveform by bassbiquad
+    dataset = dataset.map(
+        input_columns=["channel"], operations=bass_biquad_op, num_parallel_workers=8)
+    i = 0
+    for _ in dataset.create_dict_iterator(output_numpy=True):
+        _count_unequal_element(expect_waveform[i, :],
+                               _['channel'], 0.0001, 0.0001)
+        i += 1
+
+
+def test_invalid_invalid_input():
+    def test_invalid_input(test_name, sample_rate, gain, central_freq, Q, error, error_msg):
+        logger.info("Test BassBiquad with bad input: {0}".format(test_name))
+        with pytest.raises(error) as error_info:
+            audio.BassBiquad(sample_rate, gain, central_freq, Q)
+        assert error_msg in str(error_info.value)
+    test_invalid_input("invalid sample_rate parameter type as a float", 44100.5, 50.0, 200, 0.707, TypeError,
+                       "Argument sample_rate with value 44100.5 is not of type [<class 'int'>],"
+                       " but got <class 'float'>.")
+    test_invalid_input("invalid sample_rate parameter type as a String", "44100", 50.0, 200, 0.707, TypeError,
+                       "Argument sample_rate with value 44100 is not of type [<class 'int'>],"
+                       " but got <class 'str'>.")
+    test_invalid_input("invalid gain parameter type as a String", 44100, "50.0", 200, 0.707, TypeError,
+                       "Argument gain with value 50.0 is not of type [<class 'float'>, <class 'int'>],"
+                       " but got <class 'str'>.")
+    test_invalid_input("invalid contral_freq parameter type as a String", 44100, 50.0, "200", 0.707, TypeError,
+                       "Argument central_freq with value 200 is not of type [<class 'float'>, <class 'int'>],"
+                       " but got <class 'str'>.")
+    test_invalid_input("invalid Q parameter type as a String", 44100, 50.0, 200, "0.707", TypeError,
+                       "Argument Q with value 0.707 is not of type [<class 'float'>, <class 'int'>],"
+                       " but got <class 'str'>.")
+
+    test_invalid_input("invalid sample_rate parameter value", 441324343243242342345300, 50.0, 200, 0.707, ValueError,
+                       "Input sample_rate is not within the required interval of [-2147483648, 2147483647].")
+    test_invalid_input("invalid gain parameter value", 44100, 32434324324234321, 200, 0.707, ValueError,
+                       "Input gain is not within the required interval of [-16777216, 16777216].")
+    test_invalid_input("invalid contral_freq parameter value", 44100, 50, 32434324324234321, 0.707, ValueError,
+                       "Input central_freq is not within the required interval of [-16777216, 16777216].")
+
+    test_invalid_input("invalid sample_rate parameter value", None, 50.0, 200, 0.707, TypeError,
+                       "Argument sample_rate with value None is not of type [<class 'int'>], "
+                       "but got <class 'NoneType'>.")
+    test_invalid_input("invalid gain parameter value", 44100, None, 200, 0.707, TypeError,
+                       "Argument gain with value None is not of type [<class 'float'>, <class 'int'>], "
+                       "but got <class 'NoneType'>.")
+    test_invalid_input("invalid central_rate parameter value", 44100, 50.0, None, 0.707, TypeError,
+                       "Argument central_freq with value None is not of type [<class 'float'>, <class 'int'>],"
+                       " but got <class 'NoneType'>.")
+
+    test_invalid_input("invalid sample_rate parameter value", 0, 50.0, 200, 0.707, ValueError,
+                       "Input sample_rate can not be 0.")
+    test_invalid_input("invalid Q parameter value", 44100, 50.0, 200, 1.707, ValueError,
+                       "Input Q is not within the required interval of (0, 1].")
+
+if __name__ == '__main__':
+    test_func_bass_biquad_eager()
+    test_func_bass_biquad_pipeline()
+    test_invalid_invalid_input()