add an alternative local method to compress and stretch cues

requirements-arm64.txt

@@ -49,7 +49,7 @@ PyYAML>=4.2b1
 rsa==4.7
 scipy<1.11.0
 scikit-learn<1.2.0
-setuptools>=41.0.0
+setuptools>=41.0.0,<65.0.0
 six~=1.15.0
 tensorflow-macos~=2.12.0
 termcolor==1.1.0

requirements-stretch.txt

@@ -1 +1,2 @@
-aeneas~=1.7.3.0
+aeneas~=1.7.3.0
+dtw-python~=1.5.3

subaligner/__main__.py

@@ -270,6 +270,7 @@ def main():
             if FLAGS.stretch_on or FLAGS.mode == "script":
                 try:
                     import aeneas
+                    import dtw
                 except ModuleNotFoundError:
                     print('ERROR: Alignment has been configured to use extra features. Please install "subaligner[stretch]" and run your command again.')
                     sys.exit(21)

subaligner/lib/language.py

@@ -406,3 +406,63 @@ class Language(object):
 
     CODE_TO_HUMAN_LIST = sorted([u"%s\t%s" % (k, v) for k, v in CODE_TO_HUMAN.items()])
     """ List of all language codes with their human-readable names """
+
+    LANGUAGE_TO_VOICE_CODE = {
+        AFR: "af",
+        ARG: "an",
+        BOS: "bs",
+        BUL: "bg",
+        CAT: "ca",
+        CES: "cs",
+        CMN: "zh",
+        CYM: "cy",
+        DAN: "da",
+        DEU: "de",
+        ELL: "el",
+        ENG: "en",
+        EPO: "eo",
+        EST: "et",
+        FAS: "fa",
+        FIN: "fi",
+        FRA: "fr",
+        GLE: "ga",
+        GRC: "grc",
+        HIN: "hi",
+        HRV: "hr",
+        HUN: "hu",
+        HYE: "hy",
+        IND: "id",
+        ISL: "is",
+        ITA: "it",
+        JBO: "jbo",
+        KAN: "kn",
+        KAT: "ka",
+        KUR: "ku",
+        LAT: "la",
+        LAV: "lv",
+        LFN: "lfn",
+        LIT: "lt",
+        MAL: "ml",
+        MKD: "mk",
+        MSA: "ms",
+        NEP: "ne",
+        NLD: "nl",
+        NOR: "no",
+        PAN: "pa",
+        POL: "pl",
+        POR: "pt",
+        RON: "ro",
+        RUS: "ru",
+        SLK: "sk",
+        SPA: "es",
+        SQI: "sq",
+        SRP: "sr",
+        SWA: "sw",
+        SWE: "sv",
+        TAM: "ta",
+        TUR: "tr",
+        UKR: "uk",
+        VIE: "vi",
+        YUE: "zh-yue",
+        ZHO: "zh",
+    }

subaligner/predictor.py

@@ -6,19 +6,23 @@
 import gc
 import math
 import logging
+import tempfile
+import librosa
 import numpy as np
 import multiprocessing as mp
+import soundfile as sf
 from typing import Tuple, List, Optional, Dict, Any, Iterable, Union
+from copy import deepcopy
 from pysrt import SubRipTime, SubRipItem, SubRipFile
 from sklearn.metrics import log_loss
-from copy import deepcopy
 from .network import Network
 from .embedder import FeatureEmbedder
 from .media_helper import MediaHelper
 from .subtitle import Subtitle
 from .hyperparameters import Hyperparameters
-from .exception import TerminalException
-from .exception import NoFrameRateException
+from .lib.language import Language
+from .utils import Utils
+from .exception import TerminalException, NoFrameRateException
 from .logger import Logger
 
 
@@ -445,7 +449,7 @@ def _predict_in_multithreads(
             gc.collect()
 
             if stretch:
-                subs_new = self.__adjust_durations(subs_new, audio_file_path, stretch_in_lang, lock)
+                subs_new = self.__compress_and_stretch(subs_new, audio_file_path, stretch_in_lang, lock)
                 self.__LOGGER.info("[{}] Segment {} stretched".format(os.getpid(), segment_index))
             return subs_new
         except Exception as e:
@@ -715,6 +719,111 @@ def __adjust_durations(self, subs: List[SubRipItem], audio_file_path: str, stret
             if task.sync_map_file_path_absolute is not None and os.path.exists(task.sync_map_file_path_absolute):
                 os.remove(task.sync_map_file_path_absolute)
 
+    def __compress_and_stretch(self, subs: List[SubRipItem], audio_file_path: str, stretch_in_lang: str, lock: threading.RLock) -> List[SubRipItem]:
+        from dtw import dtw
+        try:
+            with lock:
+                segment_path, _ = self.__media_helper.extract_audio_from_start_to_end(
+                    audio_file_path,
+                    str(subs[0].start),
+                    str(subs[len(subs) - 1].end),
+                )
+
+                # Create a text file for DTW alignments
+                root, _ = os.path.splitext(segment_path)
+                text_file_path = "{}.txt".format(root)
+
+                with open(text_file_path, "w", encoding="utf8") as text_file:
+                    text_file.write("*****".join([sub_new.text for sub_new in subs]))
+
+            sample_rate = self.__feature_embedder.frequency
+            hop_length = self.__feature_embedder.hop_len
+            n_mfcc = self.__feature_embedder.n_mfcc
+
+            file_script_duration_mapping = []
+            with tempfile.TemporaryDirectory() as temp_dir:
+                with open(text_file_path, "r") as f:
+                    script_lines = f.read().split("*****")
+                    wav_data = []
+                    for i, line in enumerate(script_lines):
+                        normalised_line = line.replace('"', "'")
+                        espeak_output_file = f"espeak_part_{i}.wav"
+                        espeak_cmd = f"espeak -v {Language.LANGUAGE_TO_VOICE_CODE[stretch_in_lang]} --stdout -- \"{normalised_line}\" | ffmpeg -y -i - -af 'aresample={sample_rate}' {os.path.join(temp_dir, espeak_output_file)}"
+                        os.system(espeak_cmd)
+                        y, sr = librosa.load(os.path.join(temp_dir, espeak_output_file), sr=None)
+                        wav_data.append(y)
+                        duration = librosa.get_duration(y=y, sr=sr)
+                        file_script_duration_mapping.append((os.path.join(temp_dir, espeak_output_file), line, duration))
+                    data = np.concatenate(wav_data)
+                    sf.write(os.path.join(temp_dir, "espeak-all.wav"), data, sr)
+
+                y_query, sr_query = librosa.load(os.path.join(temp_dir, "espeak-all.wav"), sr=None)
+                query_mfcc_features = librosa.feature.mfcc(y=y_query, sr=sr_query, n_mfcc=n_mfcc, hop_length=hop_length).T
+                y_reference, sr_reference = librosa.load(segment_path, sr=sample_rate)
+                reference_mfcc_features = librosa.feature.mfcc(y=y_reference, sr=sr_reference, n_mfcc=n_mfcc, hop_length=hop_length).T
+
+                alignment = dtw(query_mfcc_features, reference_mfcc_features, keep_internals=False)
+                assert len(alignment.index1) == len(alignment.index2), "Mismatch in lengths of alignment indices"
+                assert sr_query == sr_reference
+                frame_duration = hop_length / sr_query
+
+                mapped_times = []
+                start_frame_index = 0
+                for index, (wav_file, line_text, duration) in enumerate(file_script_duration_mapping):
+                    num_frames_in_query = int(np.ceil(duration / frame_duration))
+
+                    query_start_frame = start_frame_index
+                    query_end_frame = start_frame_index + num_frames_in_query - 1
+                    reference_frame_indices = [r for q, r in zip(alignment.index1, alignment.index2) if
+                                               query_start_frame <= q <= query_end_frame]
+                    reference_start_frame = min(reference_frame_indices)
+                    reference_end_frame = max(reference_frame_indices)
+
+                    # TODO: Handle cases where mapped frames are not found in the reference audio
+
+                    new_reference_start_time = reference_start_frame * frame_duration
+                    new_reference_end_time = (reference_end_frame + 1) * frame_duration
+
+                    mapped_times.append({
+                        "new_reference_start_time": new_reference_start_time,
+                        "new_reference_end_time": new_reference_end_time
+                    })
+
+                    start_frame_index = query_end_frame + 1
+
+                with open(os.path.join(temp_dir, "synced_subtitles.srt"), "w") as f:
+                    for index, entry in enumerate(mapped_times):
+                        start_srt = Utils.format_timestamp(entry["new_reference_start_time"])
+                        end_srt = Utils.format_timestamp(entry["new_reference_end_time"])
+                        f.write(f"{index + 1}\n")
+                        f.write(f"{start_srt} --> {end_srt}\n")
+                        f.write(f"{script_lines[index]}\n")
+                        f.write(f"\n")
+                    f.flush()
+
+                adjusted_subs = Subtitle._get_srt_subs(
+                    subrip_file_path=os.path.join(temp_dir, "synced_subtitles.srt"),
+                    encoding="utf-8"
+                )
+
+            for index, sub_new_loaded in enumerate(adjusted_subs):
+                sub_new_loaded.index = subs[index].index
+
+            adjusted_subs.shift(
+                seconds=self.__media_helper.get_duration_in_seconds(
+                    start=None, end=str(subs[0].start)
+                )
+            )
+            return adjusted_subs
+        except KeyboardInterrupt:
+            raise TerminalException("Subtitle compress and stretch interrupted by the user")
+        finally:
+            # Housekeep intermediate files
+            if text_file_path is not None and os.path.exists(
+                    text_file_path
+            ):
+                os.remove(text_file_path)
+
     def __predict(
             self,
             video_file_path: Optional[str],

subaligner/subaligner_2pass/__main__.py

@@ -171,6 +171,7 @@ def main():
     if FLAGS.stretch_on:
         try:
             import aeneas
+            import dtw
         except ModuleNotFoundError:
             print('ERROR: Alignment has been configured to use extra features. Please install "subaligner[stretch]" and run your command again.')
             sys.exit(21)