def test_train_lm(basic_corpus_dir, temp_dir, generated_dir, basic_train_lm_config): if sys.platform == 'win32': pytest.skip('LM training not supported on Windows.') command = [ 'train_lm', basic_corpus_dir, os.path.join(generated_dir, 'test_basic_lm.zip'), '-t', temp_dir, '-c', basic_train_lm_config, '-q', '--clean' ] args, unknown = parser.parse_known_args(command) run_train_lm(args) assert os.path.exists(args.output_model_path)
def test_train_lm(basic_corpus_dir, temp_dir, generated_dir, basic_train_lm_config_path): if sys.platform == "win32": pytest.skip("LM training not supported on Windows.") temp_dir = os.path.join(temp_dir, "train_lm") command = [ "train_lm", basic_corpus_dir, os.path.join(generated_dir, "test_basic_lm.zip"), "-t", temp_dir, "--config_path", basic_train_lm_config_path, "-q", "--clean", ] args, unknown = parser.parse_known_args(command) run_train_lm(args) assert os.path.exists(args.output_model_path)
def main() -> None: """ Main function for the MFA command line interface """ check_third_party() hooks = ExitHooks() hooks.hook() atexit.register(hooks.history_save_handler) from colorama import init init() parser = create_parser() mp.freeze_support() args, unknown = parser.parse_known_args() for short in ["-c", "-d"]: if short in unknown: print( f"Due to the number of options that `{short}` could refer to, it is not accepted. " "Please specify the full argument", file=sys.stderr, ) sys.exit(1) try: if args.subcommand in ["g2p", "train_g2p"]: try: import pynini # noqa except ImportError: print( "There was an issue importing Pynini, please ensure that it is installed. If you are on Windows, " "please use the Windows Subsystem for Linux to use g2p functionality.", file=sys.stderr, ) sys.exit(1) if args.subcommand == "align": run_align_corpus(args, unknown) elif args.subcommand == "adapt": run_adapt_model(args, unknown) elif args.subcommand == "train": run_train_acoustic_model(args, unknown) elif args.subcommand == "g2p": run_g2p(args, unknown) elif args.subcommand == "train_g2p": run_train_g2p(args, unknown) elif args.subcommand == "validate": run_validate_corpus(args, unknown) elif args.subcommand == "validate_dictionary": run_validate_dictionary(args, unknown) elif args.subcommand in ["model", "models"]: run_model(args) elif args.subcommand == "train_lm": run_train_lm(args, unknown) elif args.subcommand == "train_dictionary": run_train_dictionary(args, unknown) elif args.subcommand == "train_ivector": run_train_ivector_extractor(args, unknown) elif args.subcommand == "classify_speakers": # pragma: no cover run_classify_speakers(args, unknown) elif args.subcommand in ["annotator", "anchor"]: run_anchor() elif args.subcommand == "transcribe": run_transcribe_corpus(args, unknown) elif args.subcommand == "create_segments": run_create_segments(args, unknown) elif args.subcommand == "configure": update_global_config(args) global GLOBAL_CONFIG GLOBAL_CONFIG = load_global_config() elif args.subcommand == "history": print_history(args) elif args.subcommand == "version": from montreal_forced_aligner.utils import get_mfa_version print(get_mfa_version()) elif args.subcommand == "thirdparty": # Deprecated command raise DeprecationWarning( "Necessary thirdparty executables are now installed via conda. Please refer to the installation docs for the updated commands." ) elif args.subcommand == "download": # Deprecated command raise DeprecationWarning( "Downloading models is now run through the `mfa model download` command, please use that instead." ) except MFAError as e: if getattr(args, "debug", False): raise print(e, file=sys.stderr) sys.exit(1)
def main(): mp.freeze_support() args, unknown = parser.parse_known_args() fix_path() if args.subcommand in ['align', 'train', 'train_ivector']: from montreal_forced_aligner.thirdparty.kaldi import validate_alignment_binaries if not validate_alignment_binaries(): print( "There was an issue validating Kaldi binaries, please ensure you've downloaded them via the " "'mfa thirdparty download' command. See 'mfa thirdparty validate' for more detailed information " "on why this check failed.") sys.exit(1) elif args.subcommand in ['transcribe']: from montreal_forced_aligner.thirdparty.kaldi import validate_transcribe_binaries if not validate_transcribe_binaries(): print( "There was an issue validating Kaldi binaries, please ensure you've downloaded them via the " "'mfa thirdparty download' command. See 'mfa thirdparty validate' for more detailed information " "on why this check failed. If you are on MacOS, please note that the thirdparty binaries available " "via the download command do not contain the transcription ones. To get this functionality working " "for the time being, please build kaldi locally and follow the instructions for running the " "'mfa thirdparty kaldi' command.") sys.exit(1) elif args.subcommand in ['train_dictionary']: from montreal_forced_aligner.thirdparty.kaldi import validate_train_dictionary_binaries if not validate_train_dictionary_binaries(): print( "There was an issue validating Kaldi binaries, please ensure you've downloaded them via the " "'mfa thirdparty download' command. See 'mfa thirdparty validate' for more detailed information " "on why this check failed. If you are on MacOS, please note that the thirdparty binaries available " "via the download command do not contain the train_dictionary ones. To get this functionality working " "for the time being, please build kaldi locally and follow the instructions for running the " "'mfa thirdparty kaldi' command.") sys.exit(1) elif args.subcommand in ['g2p', 'train_g2p']: try: import pynini except ImportError: print( "There was an issue importing Pynini, please ensure that it is installed. If you are on Windows, " "please use the Windows Subsystem for Linux to use g2p functionality." ) sys.exit(1) if args.subcommand == 'align': run_align_corpus(args, unknown, acoustic_languages) elif args.subcommand == 'train': run_train_corpus(args) elif args.subcommand == 'g2p': run_g2p(args, g2p_languages) elif args.subcommand == 'train_g2p': run_train_g2p(args) elif args.subcommand == 'validate': run_validate_corpus(args) elif args.subcommand == 'download': run_download(args) elif args.subcommand == 'train_lm': run_train_lm(args) elif args.subcommand == 'train_dictionary': run_train_dictionary(args) elif args.subcommand == 'train_ivector': run_train_ivector_extractor(args) elif args.subcommand == 'classify_speakers': run_classify_speakers(args) elif args.subcommand == 'annotator': from montreal_forced_aligner.command_line.annotator import run_annotator run_annotator(args) elif args.subcommand == 'thirdparty': run_thirdparty(args) elif args.subcommand == 'transcribe': run_transcribe_corpus(args) elif args.subcommand == 'create_segments': run_create_segments(args, unknown) elif args.subcommand == 'version': print(__version__) unfix_path()