Update synthesizer.py

Configurable verbose output

TTS/utils/synthesizer.py

@@ -264,6 +264,7 @@ class Synthesizer(nn.Module):
         style_text=None,
         reference_wav=None,
         reference_speaker_name=None,
+        verbose: bool = True,
         split_sentences: bool = True,
         **kwargs,
     ) -> List[int]:
@@ -278,6 +279,7 @@ class Synthesizer(nn.Module):
             style_text ([type], optional): transcription of style_wav for Capacitron. Defaults to None.
             reference_wav ([type], optional): reference waveform for voice conversion. Defaults to None.
             reference_speaker_name ([type], optional): speaker id of reference waveform. Defaults to None.
+            verbose (bool, optional): print verbose output. Defaults to True.
             split_sentences (bool, optional): split the input text into sentences. Defaults to True.
             **kwargs: additional arguments to pass to the TTS model.
         Returns:
@@ -294,8 +296,10 @@ class Synthesizer(nn.Module):
         if text:
             sens = [text]
             if split_sentences:
+                if verbose:
                     print(" > Text splitted to sentences.")
                 sens = self.split_into_sentences(text)
+            if verbose:
                 print(sens)
 
         # handle multi-speaker
@@ -420,6 +424,7 @@ class Synthesizer(nn.Module):
                         self.vocoder_config["audio"]["sample_rate"] / self.tts_model.ap.sample_rate,
                     ]
                     if scale_factor[1] != 1:
+                        if verbose:
                             print(" > interpolating tts model output.")
                         vocoder_input = interpolate_vocoder_input(scale_factor, vocoder_input)
                     else:
@@ -484,6 +489,7 @@ class Synthesizer(nn.Module):
                     self.vocoder_config["audio"]["sample_rate"] / self.tts_model.ap.sample_rate,
                 ]
                 if scale_factor[1] != 1:
+                    if verbose:
                         print(" > interpolating tts model output.")
                     vocoder_input = interpolate_vocoder_input(scale_factor, vocoder_input)
                 else:
@@ -497,6 +503,7 @@ class Synthesizer(nn.Module):
                 waveform = waveform.numpy()
             wavs = waveform.squeeze()
 
+        if verbose:
             # compute stats
             process_time = time.time() - start_time
             audio_time = len(wavs) / self.tts_config.audio["sample_rate"]