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small change for multispeaker
just threads speaker_id through decoder.run_model
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@@ -164,16 +164,21 @@ class Synthesizer(object):
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sentences = list(filter(None, [s.strip() for s in sentences])) # remove empty sentences
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return sentences
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def tts(self, text):
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def tts(self, text, speaker_id=None):
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wavs = []
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sens = self.split_into_sentences(text)
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print(sens)
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speaker_id = id_to_torch(speaker_id)
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+ if speaker_id is not None and self.use_cuda:
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+ speaker_id = speaker_id.cuda()
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for sen in sens:
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# preprocess the given text
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inputs = text_to_seqvec(sen, self.tts_config, self.use_cuda)
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# synthesize voice
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decoder_output, postnet_output, alignments, _ = run_model(
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self.tts_model, inputs, self.tts_config, False, None, None)
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self.tts_model, inputs, self.tts_config, False, speaker_id, None)
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# convert outputs to numpy
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postnet_output, decoder_output, _ = parse_outputs(
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postnet_output, decoder_output, alignments)
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