Merge branch 'dev' into main

README.md

@@ -187,18 +187,21 @@ More details about the docker images (like GPU support) can be found [here](http
 
 ### 🐍 Python API
 
+#### Running a multi-speaker and multi-lingual model
+
 ```python
+import torch
 from TTS.api import TTS
 
-# Running a multi-speaker and multi-lingual model
+# Get device
+device = "cuda" if torch.cuda.is_available() else "cpu"
 
 # List available 🐸TTS models and choose the first one
-model_name = TTS.list_models()[0]
+model_name = TTS().list_models()[0]
 # Init TTS
-tts = TTS(model_name)
+tts = TTS(model_name).to(device)
 
 # Run TTS
-
 # ❗ Since this model is multi-speaker and multi-lingual, we must set the target speaker and the language
 # Text to speech with a numpy output
 wav = tts.tts("This is a test! This is also a test!!", speaker=tts.speakers[0], language=tts.languages[0])
@@ -210,13 +213,13 @@ tts.tts_to_file(text="Hello world!", speaker=tts.speakers[0], language=tts.langu
 
 ```python
 # Init TTS with the target model name
-tts = TTS(model_name="tts_models/de/thorsten/tacotron2-DDC", progress_bar=False, gpu=False)
+tts = TTS(model_name="tts_models/de/thorsten/tacotron2-DDC", progress_bar=False).to(device)
+
 # Run TTS
 tts.tts_to_file(text="Ich bin eine Testnachricht.", file_path=OUTPUT_PATH)
 
 # Example voice cloning with YourTTS in English, French and Portuguese
-
+tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False).to(device)
-tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False, gpu=True)
 tts.tts_to_file("This is voice cloning.", speaker_wav="my/cloning/audio.wav", language="en", file_path="output.wav")
 tts.tts_to_file("C'est le clonage de la voix.", speaker_wav="my/cloning/audio.wav", language="fr-fr", file_path="output.wav")
 tts.tts_to_file("Isso é clonagem de voz.", speaker_wav="my/cloning/audio.wav", language="pt-br", file_path="output.wav")
@@ -227,7 +230,7 @@ tts.tts_to_file("Isso é clonagem de voz.", speaker_wav="my/cloning/audio.wav",
 Converting the voice in `source_wav` to the voice of `target_wav`
 
 ```python
-tts = TTS(model_name="voice_conversion_models/multilingual/vctk/freevc24", progress_bar=False, gpu=True)
+tts = TTS(model_name="voice_conversion_models/multilingual/vctk/freevc24", progress_bar=False).to("cuda")
 tts.voice_conversion_to_file(source_wav="my/source.wav", target_wav="my/target.wav", file_path="output.wav")
 ```
 
@@ -256,7 +259,7 @@ These models will follow the naming convention `coqui_studio/en/<studio_speaker_
 # XTTS model
 models = TTS(cs_api_model="XTTS").list_models()
 # Init TTS with the target studio speaker
-tts = TTS(model_name="coqui_studio/en/Torcull Diarmuid/coqui_studio", progress_bar=False, gpu=False)
+tts = TTS(model_name="coqui_studio/en/Torcull Diarmuid/coqui_studio", progress_bar=False)
 # Run TTS
 tts.tts_to_file(text="This is a test.", file_path=OUTPUT_PATH)
 

TTS/VERSION

@@ -1 +1 @@
-0.16.5
+0.16.6

TTS/bin/synthesize.py

@@ -169,6 +169,7 @@ If you don't specify any models, then it uses LJSpeech based English model.
         help="Output wav file path.",
     )
     parser.add_argument("--use_cuda", type=bool, help="Run model on CUDA.", default=False)
+    parser.add_argument("--device", type=str, help="Device to run model on.", default="cpu")
     parser.add_argument(
         "--vocoder_path",
         type=str,
@@ -392,6 +393,10 @@ If you don't specify any models, then it uses LJSpeech based English model.
         encoder_path = args.encoder_path
         encoder_config_path = args.encoder_config_path
     
+    device = args.device
+    if args.use_cuda:
+        device = "cuda"
+
     # load models
     synthesizer = Synthesizer(
         tts_path,
@@ -406,8 +411,7 @@ If you don't specify any models, then it uses LJSpeech based English model.
         vc_config_path,
         model_dir,
         args.voice_dir,
-        args.use_cuda,
+    ).to(device)
-    )
 
     # query speaker ids of a multi-speaker model.
     if args.list_speaker_idxs:

TTS/tts/utils/text/belarusian/phonemizer.py

@@ -0,0 +1,34 @@
+import os
+
+finder = None
+
+
+def init():
+    try:
+        import jpype
+        import jpype.imports
+    except ModuleNotFoundError:
+        raise ModuleNotFoundError("Belarusian phonemizer requires to install module 'jpype1' manually. Try `pip install jpype1`.")
+
+    try:
+        jar_path = os.environ["BEL_FANETYKA_JAR"]
+    except KeyError:
+        raise KeyError("You need to define 'BEL_FANETYKA_JAR' environment variable as path to the fanetyka.jar file")
+
+    jpype.startJVM(classpath=[jar_path])
+
+    # import the Java modules
+    from org.alex73.korpus.base import GrammarDB2, GrammarFinder
+
+    grammar_db = GrammarDB2.initializeFromJar()
+    global finder
+    finder = GrammarFinder(grammar_db)
+
+
+def belarusian_text_to_phonemes(text: str) -> str:
+    # Initialize only on first run
+    if finder is None:
+        init()
+
+    from org.alex73.fanetyka.impl import FanetykaText
+    return str(FanetykaText(finder, text).ipa)

TTS/tts/utils/text/phonemizers/__init__.py

@@ -1,4 +1,5 @@
 from TTS.tts.utils.text.phonemizers.bangla_phonemizer import BN_Phonemizer
+from TTS.tts.utils.text.phonemizers.belarusian_phonemizer import BEL_Phonemizer
 from TTS.tts.utils.text.phonemizers.base import BasePhonemizer
 from TTS.tts.utils.text.phonemizers.espeak_wrapper import ESpeak
 from TTS.tts.utils.text.phonemizers.gruut_wrapper import Gruut
@@ -35,6 +36,7 @@ DEF_LANG_TO_PHONEMIZER["en"] = DEF_LANG_TO_PHONEMIZER["en-us"]
 DEF_LANG_TO_PHONEMIZER["zh-cn"] = ZH_CN_Phonemizer.name()
 DEF_LANG_TO_PHONEMIZER["ko-kr"] = KO_KR_Phonemizer.name()
 DEF_LANG_TO_PHONEMIZER["bn"] = BN_Phonemizer.name()
+DEF_LANG_TO_PHONEMIZER["be"] = BEL_Phonemizer.name()
 
 
 # JA phonemizer has deal breaking dependencies like MeCab for some systems.
@@ -68,6 +70,8 @@ def get_phonemizer_by_name(name: str, **kwargs) -> BasePhonemizer:
         return KO_KR_Phonemizer(**kwargs)
     if name == "bn_phonemizer":
         return BN_Phonemizer(**kwargs)
+    if name == "be_phonemizer":
+        return BEL_Phonemizer(**kwargs)
     raise ValueError(f"Phonemizer {name} not found")
 
 

TTS/tts/utils/text/phonemizers/belarusian_phonemizer.py

@@ -0,0 +1,55 @@
+from typing import Dict
+
+from TTS.tts.utils.text.phonemizers.base import BasePhonemizer
+from TTS.tts.utils.text.belarusian.phonemizer import belarusian_text_to_phonemes
+
+_DEF_BE_PUNCS = ",!."  # TODO
+
+
+class BEL_Phonemizer(BasePhonemizer):
+    """🐸TTS be phonemizer using functions in `TTS.tts.utils.text.belarusian.phonemizer`
+
+    Args:
+        punctuations (str):
+            Set of characters to be treated as punctuation. Defaults to `_DEF_BE_PUNCS`.
+
+        keep_puncs (bool):
+            If True, keep the punctuations after phonemization. Defaults to False.
+    """
+
+    language = "be"
+
+    def __init__(self, punctuations=_DEF_BE_PUNCS, keep_puncs=True, **kwargs):  # pylint: disable=unused-argument
+        super().__init__(self.language, punctuations=punctuations, keep_puncs=keep_puncs)
+
+    @staticmethod
+    def name():
+        return "be_phonemizer"
+
+    @staticmethod
+    def phonemize_be(text: str, separator: str = "|") -> str:  # pylint: disable=unused-argument
+        return belarusian_text_to_phonemes(text)
+
+    def _phonemize(self, text, separator):
+        return self.phonemize_be(text, separator)
+
+    @staticmethod
+    def supported_languages() -> Dict:
+        return {"be": "Belarusian"}
+
+    def version(self) -> str:
+        return "0.0.1"
+
+    def is_available(self) -> bool:
+        return True
+
+
+if __name__ == "__main__":
+    txt = "тэст"
+    e = BEL_Phonemizer()
+    print(e.supported_languages())
+    print(e.version())
+    print(e.language)
+    print(e.name())
+    print(e.is_available())
+    print("`" + e.phonemize(txt) + "`")

docs/requirements.txt

@@ -1,6 +1,6 @@
 furo
 myst-parser == 2.0.0
-sphinx == 7.0.1
+sphinx == 7.2.5
 sphinx_inline_tabs
 sphinx_copybutton
 linkify-it-py

docs/source/implementing_a_new_model.md

@@ -36,7 +36,7 @@
     There is also the `callback` interface by which you can manipulate both the model and the `Trainer` states. Callbacks give you
     an infinite flexibility to add custom behaviours for your model and training routines.
 
-    For more details, see {ref}`BaseTTS <Base TTS Model>` and :obj:`TTS.utils.callbacks`.
+    For more details, see {ref}`BaseTTS <Base tts Model>` and :obj:`TTS.utils.callbacks`.
 
 6. Optionally, define `MyModelArgs`.
 
@@ -204,5 +204,3 @@ class MyModel(BaseTTS):
         pass
 
 ```
-
-

docs/source/inference.md

@@ -117,7 +117,7 @@ You can run a multi-speaker and multi-lingual model in Python as
 from TTS.api import TTS
 
 # List available 🐸TTS models and choose the first one
-model_name = TTS.list_models()[0]
+model_name = TTS().list_models()[0]
 # Init TTS
 tts = TTS(model_name)
 # Run TTS
@@ -132,7 +132,7 @@ tts.tts_to_file(text="Hello world!", speaker=tts.speakers[0], language=tts.langu
 
 ```python
 # Init TTS with the target model name
-tts = TTS(model_name="tts_models/de/thorsten/tacotron2-DDC", progress_bar=False, gpu=False)
+tts = TTS(model_name="tts_models/de/thorsten/tacotron2-DDC", progress_bar=False)
 # Run TTS
 tts.tts_to_file(text="Ich bin eine Testnachricht.", file_path=OUTPUT_PATH)
 ```
@@ -140,7 +140,7 @@ tts.tts_to_file(text="Ich bin eine Testnachricht.", file_path=OUTPUT_PATH)
 #### Example voice cloning with YourTTS in English, French and Portuguese:
 
 ```python
-tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False, gpu=True)
+tts = TTS(model_name="tts_models/multilingual/multi-dataset/your_tts", progress_bar=False).to("cuda")
 tts.tts_to_file("This is voice cloning.", speaker_wav="my/cloning/audio.wav", language="en", file_path="output.wav")
 tts.tts_to_file("C'est le clonage de la voix.", speaker_wav="my/cloning/audio.wav", language="fr", file_path="output.wav")
 tts.tts_to_file("Isso é clonagem de voz.", speaker_wav="my/cloning/audio.wav", language="pt", file_path="output.wav")
@@ -149,7 +149,7 @@ tts.tts_to_file("Isso é clonagem de voz.", speaker_wav="my/cloning/audio.wav",
 #### Example voice conversion converting speaker of the `source_wav` to the speaker of the `target_wav`
 
 ```python
-tts = TTS(model_name="voice_conversion_models/multilingual/vctk/freevc24", progress_bar=False, gpu=True)
+tts = TTS(model_name="voice_conversion_models/multilingual/vctk/freevc24", progress_bar=False).to("cuda")
 tts.voice_conversion_to_file(source_wav="my/source.wav", target_wav="my/target.wav", file_path="output.wav")
 ```
 
@@ -177,7 +177,7 @@ You should set the `COQUI_STUDIO_TOKEN` environment variable to use the API toke
 # The name format is coqui_studio/en/<studio_speaker_name>/coqui_studio
 models = TTS().list_models()
 # Init TTS with the target studio speaker
-tts = TTS(model_name="coqui_studio/en/Torcull Diarmuid/coqui_studio", progress_bar=False, gpu=False)
+tts = TTS(model_name="coqui_studio/en/Torcull Diarmuid/coqui_studio", progress_bar=False)
 # Run TTS
 tts.tts_to_file(text="This is a test.", file_path=OUTPUT_PATH)
 # Run TTS with emotion and speed control
@@ -222,7 +222,7 @@ You can find the list of language ISO codes [here](https://dl.fbaipublicfiles.co
 
 ```python
 from TTS.api import TTS
-api = TTS(model_name="tts_models/eng/fairseq/vits", gpu=True)
+api = TTS(model_name="tts_models/eng/fairseq/vits").to("cuda")
 api.tts_to_file("This is a test.", file_path="output.wav")
 
 # TTS with on the fly voice conversion

docs/source/main_classes/model_api.md

@@ -5,18 +5,18 @@ Model API provides you a set of functions that easily make your model compatible
 ## Base TTS Model
 
 ```{eval-rst}
-.. autoclass:: TTS.model.BaseModel
+.. autoclass:: TTS.model.BaseTrainerModel
     :members:
 ```
 
-## Base `tts` Model
+## Base tts Model
 
 ```{eval-rst}
 .. autoclass:: TTS.tts.models.base_tts.BaseTTS
     :members:
 ```
 
-## Base `vocoder` Model
+## Base vocoder Model
 
 ```{eval-rst}
 .. autoclass:: TTS.vocoder.models.base_vocoder.BaseVocoder

docs/source/models/bark.md

@@ -91,12 +91,6 @@ tts --model_name  tts_models/multilingual/multi-dataset/bark \
     :members:
 ```
 
-## BarkArgs
-```{eval-rst}
-.. autoclass:: TTS.tts.models.bark.BarkArgs
-    :members:
-```
-
 ## Bark Model
 ```{eval-rst}
 .. autoclass:: TTS.tts.models.bark.Bark

recipes/bel-alex73/train_glowtts.py

@@ -60,7 +60,7 @@ config = GlowTTSConfig(
     output_path=output_path,
     add_blank=True,
     datasets=[dataset_config],
-    characters=characters,
+#    characters=characters,
     enable_eos_bos_chars=True,
     mixed_precision=False,
     save_step=10000,
@@ -69,6 +69,8 @@ config = GlowTTSConfig(
     text_cleaner="no_cleaners",
     audio=audio_config,
     test_sentences=[],
+    use_phonemes=True,
+    phoneme_language="be",
 )
 
 if __name__ == "__main__":

requirements.txt

@@ -2,7 +2,7 @@
 numpy==1.22.0;python_version<="3.10"
 numpy==1.24.3;python_version>"3.10"
 cython==0.29.30
-scipy>=1.4.0
+scipy>=1.11.2
 torch>=1.7
 torchaudio
 soundfile

tests/text_tests/test_belarusian_phonemizer.py

@@ -0,0 +1,29 @@
+import os
+import warnings
+import unittest
+
+from TTS.tts.utils.text.belarusian.phonemizer import belarusian_text_to_phonemes
+
+_TEST_CASES = """
+Фанетычны канвертар/fanʲɛˈtɨt͡ʂnɨ kanˈvʲɛrtar
+Гэтак мы працавалі/ˈɣɛtak ˈmɨ prat͡saˈvalʲi
+"""
+
+
+class TestText(unittest.TestCase):
+    def test_belarusian_text_to_phonemes(self):
+        try:
+            os.environ["BEL_FANETYKA_JAR"]
+        except KeyError:
+            warnings.warn(
+                "You need to define 'BEL_FANETYKA_JAR' environment variable as path to the fanetyka.jar file to test Belarusian phonemizer",
+                Warning)
+            return
+
+        for line in _TEST_CASES.strip().split("\n"):
+            text, phonemes = line.split("/")
+            self.assertEqual(belarusian_text_to_phonemes(text), phonemes)
+
+
+if __name__ == "__main__":
+    unittest.main()