refactor(api): use save_wav() from Synthesizer instance

Author: eginhard

TTS/api.py

@@ -9,7 +9,6 @@
 from torch import nn
 
 from TTS.config import load_config
-from TTS.utils.audio.numpy_transforms import save_wav
 from TTS.utils.manage import ModelManager
 from TTS.utils.synthesizer import Synthesizer
 
@@ -394,6 +393,7 @@ def voice_conversion_to_file(
         source_wav: str,
         target_wav: str,
         file_path: str = "output.wav",
+        pipe_out=None,
     ) -> str:
         """Voice conversion with FreeVC. Convert source wav to target speaker.
 
@@ -404,9 +404,11 @@ def voice_conversion_to_file(
                 Path to the target wav file.
             file_path (str, optional):
                 Output file path. Defaults to "output.wav".
+            pipe_out (BytesIO, optional):
+                Flag to stdout the generated TTS wav file for shell pipe.
         """
         wav = self.voice_conversion(source_wav=source_wav, target_wav=target_wav)
-        save_wav(wav=wav, path=file_path, sample_rate=self.voice_converter.vc_config.audio.output_sample_rate)
+        self.voice_converter.save_wav(wav=wav, path=file_path, pipe_out=pipe_out)
         return file_path
 
     def tts_with_vc(
@@ -459,6 +461,7 @@ def tts_with_vc_to_file(
         file_path: str = "output.wav",
         speaker: str = None,
         split_sentences: bool = True,
+        pipe_out=None,
     ) -> str:
         """Convert text to speech with voice conversion and save to file.
 
@@ -482,9 +485,11 @@ def tts_with_vc_to_file(
                 Split text into sentences, synthesize them separately and concatenate the file audio.
                 Setting it False uses more VRAM and possibly hit model specific text length or VRAM limits. Only
                 applicable to the 🐸TTS models. Defaults to True.
+            pipe_out (BytesIO, optional):
+                Flag to stdout the generated TTS wav file for shell pipe.
         """
         wav = self.tts_with_vc(
             text=text, language=language, speaker_wav=speaker_wav, speaker=speaker, split_sentences=split_sentences
         )
-        save_wav(wav=wav, path=file_path, sample_rate=self.voice_converter.vc_config.audio.output_sample_rate)
+        self.voice_converter.save_wav(wav=wav, path=file_path, pipe_out=pipe_out)
         return file_path