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test_commandline_diarize_speakers.py
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test_commandline_diarize_speakers.py
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import os
import click.testing
import pytest
from montreal_forced_aligner.command_line.mfa import mfa_cli
from montreal_forced_aligner.diarization.speaker_diarizer import FOUND_SPEECHBRAIN
def test_cluster_mfa(
combined_corpus_dir,
multilingual_ivector_model,
generated_dir,
transcription_acoustic_model,
transcription_language_model,
temp_dir,
db_setup,
):
output_path = generated_dir.joinpath("cluster_test_mfa")
command = [
"diarize",
combined_corpus_dir,
multilingual_ivector_model,
output_path,
"--cluster",
"--cluster_type",
"kmeans",
"--expected_num_speakers",
"3",
"--clean",
"--evaluate",
]
command = [str(x) for x in command]
result = click.testing.CliRunner(mix_stderr=False, echo_stdin=True).invoke(
mfa_cli, command, catch_exceptions=True
)
print(result.stdout)
print(result.stderr)
if result.exception:
print(result.exc_info)
raise result.exception
assert not result.return_value
assert os.path.exists(output_path)
def test_classify_mfa(
combined_corpus_dir,
multilingual_ivector_model,
generated_dir,
transcription_acoustic_model,
transcription_language_model,
temp_dir,
db_setup,
):
output_path = generated_dir.joinpath("classify_test_mfa")
command = [
"diarize",
combined_corpus_dir,
multilingual_ivector_model,
output_path,
"--classify",
"--clean",
"--evaluate",
]
command = [str(x) for x in command]
result = click.testing.CliRunner(mix_stderr=False, echo_stdin=True).invoke(
mfa_cli, command, catch_exceptions=True
)
print(result.stdout)
print(result.stderr)
if result.exception:
print(result.exc_info)
raise result.exception
assert not result.return_value
assert os.path.exists(output_path)
def test_cluster_speechbrain(
combined_corpus_dir,
generated_dir,
transcription_acoustic_model,
transcription_language_model,
temp_dir,
db_setup,
):
if not FOUND_SPEECHBRAIN:
pytest.skip("SpeechBrain not installed")
output_path = generated_dir.joinpath("cluster_test_sb")
command = [
"diarize",
combined_corpus_dir,
"speechbrain",
output_path,
"--cluster",
"--cluster_type",
"kmeans",
"--expected_num_speakers",
"3",
"--clean",
"--no_use_pca",
"--no_debug",
"--evaluate",
]
command = [str(x) for x in command]
result = click.testing.CliRunner(mix_stderr=False, echo_stdin=True).invoke(
mfa_cli, command, catch_exceptions=True
)
print(result.stdout)
print(result.stderr)
if result.exception:
print(result.exc_info)
raise result.exception
assert not result.return_value
assert os.path.exists(output_path)
def test_classify_speechbrain(
combined_corpus_dir,
generated_dir,
transcription_acoustic_model,
transcription_language_model,
temp_dir,
db_setup,
):
if not FOUND_SPEECHBRAIN:
pytest.skip("SpeechBrain not installed")
output_path = generated_dir.joinpath("classify_test_sb")
command = [
"diarize",
combined_corpus_dir,
"speechbrain",
output_path,
"--classify",
"--clean",
"--no_debug",
"--evaluate",
]
command = [str(x) for x in command]
result = click.testing.CliRunner(mix_stderr=False, echo_stdin=True).invoke(
mfa_cli, command, catch_exceptions=True
)
print(result.stdout)
print(result.stderr)
if result.exception:
print(result.exc_info)
raise result.exception
assert not result.return_value
assert os.path.exists(output_path)