Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Configurable verbose output #2754

Closed
wants to merge 2 commits into from
Closed

Configurable verbose output #2754

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
9bae7e0
Configurable verbose output
alexiri Jul 8, 2023
e655657
Merge branch 'dev' into alexiri-patch-1
alexiri Dec 24, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
25 changes: 16 additions & 9 deletions TTS/utils/synthesizer.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -264,6 +264,7 @@ def tts(
style_text=None,
reference_wav=None,
reference_speaker_name=None,
verbose: bool = True,
split_sentences: bool = True,
**kwargs,
) -> List[int]:
Expand All @@ -278,6 +279,7 @@ def tts(
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:
Expand All @@ -294,9 +296,11 @@ def tts(
if text:
sens = [text]
if split_sentences:
print(" > Text splitted to sentences.")
if verbose:
print(" > Text splitted to sentences.")
sens = self.split_into_sentences(text)
print(sens)
if verbose:
print(sens)

# handle multi-speaker
if "voice_dir" in kwargs:
Expand Down Expand Up @@ -420,7 +424,8 @@ def tts(
self.vocoder_config["audio"]["sample_rate"] / self.tts_model.ap.sample_rate,
]
if scale_factor[1] != 1:
print(" > interpolating tts model output.")
if verbose:
print(" > interpolating tts model output.")
vocoder_input = interpolate_vocoder_input(scale_factor, vocoder_input)
else:
vocoder_input = torch.tensor(vocoder_input).unsqueeze(0) # pylint: disable=not-callable
Expand Down Expand Up @@ -484,7 +489,8 @@ def tts(
self.vocoder_config["audio"]["sample_rate"] / self.tts_model.ap.sample_rate,
]
if scale_factor[1] != 1:
print(" > interpolating tts model output.")
if verbose:
print(" > interpolating tts model output.")
vocoder_input = interpolate_vocoder_input(scale_factor, vocoder_input)
else:
vocoder_input = torch.tensor(vocoder_input).unsqueeze(0) # pylint: disable=not-callable
Expand All @@ -497,9 +503,10 @@ def tts(
waveform = waveform.numpy()
wavs = waveform.squeeze()

# compute stats
process_time = time.time() - start_time
audio_time = len(wavs) / self.tts_config.audio["sample_rate"]
print(f" > Processing time: {process_time}")
print(f" > Real-time factor: {process_time / audio_time}")
if verbose:
# compute stats
process_time = time.time() - start_time
audio_time = len(wavs) / self.tts_config.audio["sample_rate"]
print(f" > Processing time: {process_time}")
print(f" > Real-time factor: {process_time / audio_time}")
return wavs
Loading