kaldi-native-io 1.20

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Introduction

Python wrapper for Kaldi's native I/O. The internal implementation uses C++ code from Kaldi. A Python wrapper with pybind11 is provided to read ark/scp files from Kaldi in Python.

Note: This project is self-contained and does not depend on Kaldi.

Installation

pip install --verbose kaldi_native_io

or

git clone https://github.com/csukuangfj/kaldi_native_io
cd kaldi_native_io
python3 setup.py install

or

conda install -c kaldi_native_io kaldi_native_io

Features

• Native support for ALL types of rspecifier and wspecifier since the C++ code is borrowed from Kaldi.

• Support the following data types (More will be added later on request.)

  • Note: We also support Python bytes class

C++ Data Type	Writer	Sequential Reader	Random Access Reader
Python's bytes	BlobWriter	SequentialBlobReader	RandomAccessBlobReader
int32	Int32Writer	SequentialInt32Reader	RandomAccessInt32Reader
std::vector<int32>	Int32VectorWriter	SequentialInt32VectorReader	RandomAccessInt32VectorReader
std::vector<int8>	Int8VectorWriter	SequentialInt8VectorReader	RandomAccessInt8VectorReader
std::vector<std::vector<int32>>	Int32VectorVectorWriter	SequentialInt32VectorVectorReader	RandomAccessInt32VectorVectorReader
std::vector<std::pair<int32, int32>>	Int32PairVectorWriter	SequentialInt32PairVectorReader	RandomAccessInt32PairVectorReader
float	FloatWriter	SequentialFloatReader	RandomAccessFloatReader
std::vector<std::pair<float, float>>	FloatPairVectorWriter	SequentialFloatPairVectorReader	RandomAccessFloatPairVectorReader
double	DoubleWriter	SequentialDoubleReader	RandomAccessDoubleReader
bool	BoolWriter	SequentialBoolReader	RandomAccessBoolReader
std::string	TokenWriter	SequentialTokenReader	RandomAccessTokenReader
std::vector<std::string>	TokenVectorWriter	SequentialTokenVectorReader	RandomAccessTokenVectorReader
kaldi::Vector<float>	FloatVectorWriter	SequentialFloatVectorReader	RandomAccessFloatVectorReader
kaldi::Vector<double>	DoubleVectorWriter	SequentialDoubleVectorReader	RandomAccessDoubleVectorReader
kaldi::Matrix<float>	FloatMatrixWriter	SequentialFloatMatrixReader	RandomAccessFloatMatrixReader
kaldi::Matrix<double>	DoubleMatrixWriter	SequentialDoubleMatrixReader	RandomAccessDoubleMatrixReader
std::pair<kaldi::Matrix<float>, HtkHeader>	HtkMatrixWriter	SequentialHtkMatrixReader	RandomAccessHtkMatrixReader
kaldi::CompressedMatrix	CompressedMatrixWriter	SequentialCompressedMatrixReader	RandomAccessCompressedMatrixReader
kaldi::Posterior	PosteriorWriter	SequentialPosteriorReader	RandomAccessPosteriorReader
kaldi::GausPost	GaussPostWriter	SequentialGaussPostReader	RandomAccessGaussPostReader
kaldi::WaveInfo	-	SequentialWaveInfoReader	RandomAccessWaveInfoReader
kaldi::WaveData	-	SequentialWaveReader	RandomAccessWaveReader
MatrixShape	-	SequentialMatrixShapeReader	RandomAccessMatrixShapeReader

Note:

• MatrixShape does not exist in Kaldi. Its purpose is to get the shape information of a matrix without reading all the data.

Usage

Table readers and writers

Write

Create a writer instance with a wspecifier and use writer[key] = value.

For instance, the following code uses kaldi_native_io.FloatMatrixWriter to write kaldi::Matrix<float> to a wspecifier.

import numpy as np
import kaldi_native_io

base = "float_matrix"
wspecifier = f"ark,scp,t:{base}.ark,{base}.scp"

def test_float_matrix_writer():
    with kaldi_native_io.FloatMatrixWriter(wspecifier) as ko:
        ko.write("a", np.array([[1, 2], [3, 4]], dtype=np.float32))
        ko["b"] = np.array([[10, 20, 30], [40, 50, 60]], dtype=np.float32)

Read

Sequential Read

Create a sequential reader instance with an rspecifier and use for key, value in reader to read the file.

For instance, the following code uses kaldi_native_io.SequentialFloatMatrixReader to read kaldi::Matrix<float> from an rspecifier.

import numpy as np
import kaldi_native_io

base = "float_matrix"
rspecifier = f"scp:{base}.scp"

def test_sequential_float_matrix_reader():
    with kaldi_native_io.SequentialFloatMatrixReader(rspecifier) as ki:
        for key, value in ki:
            if key == "a":
                assert np.array_equal(
                    value, np.array([[1, 2], [3, 4]], dtype=np.float32)
                )
            elif key == "b":
                assert np.array_equal(
                    value,
                    np.array([[10, 20, 30], [40, 50, 60]], dtype=np.float32),
                )
            else:
                raise ValueError(f"Unknown key {key} with value {value}")

Random Access Read

Create a random access reader instance with an rspecifier and use reader[key] to read the file.

For instance, the following code uses kaldi_native_io.RandomAccessFloatMatrixReader to read kaldi::Matrix<float> from an rspecifier.

import numpy as np
import kaldi_native_io

base = "float_matrix"
rspecifier = f"scp:{base}.scp"

def test_random_access_float_matrix_reader():
    with kaldi_native_io.RandomAccessFloatMatrixReader(rspecifier) as ki:
        assert "b" in ki
        assert "a" in ki
        assert np.array_equal(
            ki["a"], np.array([[1, 2], [3, 4]], dtype=np.float32)
        )
        assert np.array_equal(
            ki["b"], np.array([[10, 20, 30], [40, 50, 60]], dtype=np.float32)
        )

There are unit tests for all supported types. Please visit https://github.com/csukuangfj/kaldi_native_io/tree/master/kaldi_native_io/python/tests for more examples.

Read and write a single matrix

See

• https://github.com/csukuangfj/kaldi_native_io/blob/master/kaldi_native_io/python/tests/test_float_matrix_writer_reader.py
• https://github.com/csukuangfj/kaldi_native_io/blob/master/kaldi_native_io/python/tests/test_double_matrix_writer_reader.py

def test_read_write_single_mat():
    arr = np.array(
        [
            [0, 1, 2, 22, 33],
            [3, 4, 5, -1, -3],
            [6, 7, 8, -9, 0],
            [9, 10, 11, 5, 100],
        ],
        dtype=np.float32,
    )
    mat = kaldi_native_io.FloatMatrix(arr)
    mat.write(wxfilename="binary.ark", binary=True)
    mat.write(wxfilename="matrix.txt", binary=False)

    m1 = kaldi_native_io.FloatMatrix.read("binary.ark")
    m2 = kaldi_native_io.FloatMatrix.read("matrix.txt")

    assert np.array_equal(mat, m1)
    assert np.array_equal(mat, m2)

    # read range
    # Note: the upper bound is inclusive!
    m3 = kaldi_native_io.FloatMatrix.read("binary.ark[0:1]")  # row 0 and row 1
    assert np.array_equal(mat.numpy()[0:2], m3.numpy())

    m4 = kaldi_native_io.FloatMatrix.read(
        "matrix.txt[:,3:4]"
    )  # column 3 and column 4
    assert np.array_equal(mat.numpy()[:, 3:5], m4.numpy())

    os.remove("binary.ark")
    os.remove("matrix.txt")

    a = np.array([[1, 2], [3, 4]], dtype=np.float32)
    b = np.array([[10, 20, 30], [40, 50, 60]], dtype=np.float32)
    with kaldi_native_io.FloatMatrixWriter("ark,scp:m.ark,m.scp") as ko:
        ko.write("a", a)
        ko["b"] = b

    """
    m.scp contains:
      a m.ark:2
      b m.ark:35
    """

    m5 = kaldi_native_io.FloatMatrix.read("m.ark:2")
    assert np.array_equal(m5.numpy(), a)

    m6 = kaldi_native_io.FloatMatrix.read("m.ark:35")
    assert np.array_equal(m6.numpy(), b)

    os.remove("m.scp")
    os.remove("m.ark")

Read and write a single vector

See

• https://github.com/csukuangfj/kaldi_native_io/blob/master/kaldi_native_io/python/tests/test_float_vector_writer_reader.py
• https://github.com/csukuangfj/kaldi_native_io/blob/master/kaldi_native_io/python/tests/test_double_vector_writer_reader.py

def test_read_write_single_vector():
    a = np.array([1, 2], dtype=np.float32)
    v = kaldi_native_io.FloatVector(a)
    v.write(wxfilename="binary.ark", binary=True)

    b = kaldi_native_io.FloatVector.read("binary.ark")
    assert np.array_equal(a, b.numpy())

    a = np.array([1, 2], dtype=np.float32)
    b = np.array([10.5], dtype=np.float32)
    with kaldi_native_io.FloatVectorWriter("ark,scp:v.ark,v.scp") as ko:
        ko.write("a", a)
        ko["b"] = b

    """
    v.scp contains:
      a v.ark:2
      b v.ark:22
    """
    va = kaldi_native_io.FloatVector.read("v.ark:2")
    assert np.array_equal(va.numpy(), a)

    vb = kaldi_native_io.FloatVector.read("v.ark:22")
    assert np.array_equal(vb.numpy(), b)

    os.remove("v.scp")
    os.remove("v.ark")

def test_read_write_single_vector():
    a = np.array([1, 2], dtype=np.float64)
    v = kaldi_native_io.DoubleVector(a)
    v.write(wxfilename="binary.ark", binary=True)

    b = kaldi_native_io.DoubleVector.read("binary.ark")
    assert np.array_equal(a, b.numpy())

    os.remove("binary.ark")

    a = np.array([1, 2], dtype=np.float64)
    b = np.array([10.5], dtype=np.float64)
    with kaldi_native_io.DoubleVectorWriter("ark,scp:v.ark,v.scp") as ko:
        ko.write("a", a)
        ko["b"] = b

    """
    v.scp contains:
      a v.ark:2
      b v.ark:30
    """
    va = kaldi_native_io.DoubleVector.read("v.ark:2")
    assert np.array_equal(va.numpy(), a)

    vb = kaldi_native_io.DoubleVector.read("v.ark:30")
    assert np.array_equal(vb.numpy(), b)

    os.remove("v.scp")
    os.remove("v.ark")

Read a single int32 vector

See https://github.com/csukuangfj/kaldi_native_io/blob/master/kaldi_native_io/python/tests/test_int32_vector_writer_reader.py

def test_read_single_item():
    a = [10, 20]
    b = [100, 200, 300]

    # You can also generate a text format by adding ",t" if you like
    #  with kaldi_native_io.Int32VectorWriter("ark,scp,t:v.ark,v.scp") as ko:
    with kaldi_native_io.Int32VectorWriter("ark,scp:v.ark,v.scp") as ko:
        ko.write("a", a)
        ko["b"] = b
    """
    v.scp contains:
      a v.ark:2
      b v.ark:21
    """

    va = kaldi_native_io.read_int32_vector("v.ark:2")
    assert va == a

    vb = kaldi_native_io.read_int32_vector("v.ark:21")
    assert va == b

Read/Write Waves

See

• https://github.com/csukuangfj/kaldi_native_io/blob/master/kaldi_native_io/python/tests/test_wave_reader.py
• https://github.com/csukuangfj/kaldi_native_io/blob/master/kaldi_native_io/python/tests/test_wave_data.py

def test_wave_writer():
    file1 = "/ceph-fj/fangjun/open-source-2/kaldi_native_io/build/BAC009S0002W0123.wav"
    if not Path(file1).is_file():
        return

    file2 = "/ceph-fj/fangjun/open-source-2/kaldi_native_io/build/BAC009S0002W0124.wav"
    if not Path(file2).is_file():
        return

    print("-----test_wave_writer------")

    file2 = f"cat {file2} |"

    wave1 = kaldi_native_io.read_wave(file1)
    wave2 = kaldi_native_io.read_wave(file2)

    wspecifier = "ark,scp:wave.ark,wave.scp"
    with kaldi_native_io.WaveWriter(wspecifier) as ko:
        ko.write("a", wave1)
        ko["b"] = wave2
    """
    wave.scp has the following content:
      a wave.ark:2
      b wave.ark:123728
    """
    wave3 = kaldi_native_io.read_wave("wave.ark:2")
    wave4 = kaldi_native_io.read_wave("wave.ark:123728")

    assert wave1.sample_freq == wave3.sample_freq
    assert wave2.sample_freq == wave4.sample_freq

    assert np.array_equal(wave1.data.numpy(), wave3.data.numpy())
    assert np.array_equal(wave2.data.numpy(), wave4.data.numpy())

Read/Write Python's bytes

See

• https://github.com/csukuangfj/kaldi_native_io/blob/master/kaldi_native_io/python/tests/test_blob_writer_reader.py

base = "blob"
wspecifier = f"ark,scp:{base}.ark,{base}.scp"
rspecifier = f"scp:{base}.scp"


def test_blob_writer():
    with kaldi_native_io.BlobWriter(wspecifier) as ko:
        ko.write("a", bytes([0x30, 0x31]))
        ko["b"] = b"1234"


def test_sequential_blob_reader():
    with kaldi_native_io.SequentialBlobReader(rspecifier) as ki:
        for key, value in ki:
            if key == "a":
                assert value == bytes([0x30, 0x31])
            elif key == "b":
                assert value == b"1234"
            else:
                raise ValueError(f"Unknown key {key} with value {value}")

def test_read_single_item():
    a = bytes([10, 20])
    b = b"1234"

    with kaldi_native_io.BlobWriter("ark,scp:b.ark,b.scp") as ko:
        ko.write("a", a)
        ko["b"] = b
    """
    b.scp contains:
      a b.ark:2
      b b.ark:20
    """

    va = kaldi_native_io.read_blob("b.ark:2")
    assert va == a, (va, a)

    vb = kaldi_native_io.read_blob("b.ark:20")
    assert vb == b, (vb, b)

    os.remove("b.scp")
    os.remove("b.ark")