fx foreign accents
Browse files- README.md +1 -1
- build_en_foreign_accents.py +302 -0
- demo.py +17 -17
README.md
CHANGED
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@@ -26,7 +26,7 @@ Expansion of [SHIFT TTS tool](https://github.com/audeering/shift) with [AudioGen
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## Available Voices
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-
<a href="https://audeering.github.io/shift/">
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[TTS Demo](https://huggingface.co/dkounadis/artificial-styletts2/blob/main/demo.py) save `demo.wav`
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## Available Voices
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<a href="https://audeering.github.io/shift/">Native English voices!</a> / <a href="https://huggingface.co/dkounadis/artificial-styletts2/discussions/1#6783e3b00e7d90facec060c6">Non-native English accents!</a> / <a href="https://huggingface.co/dkounadis/artificial-styletts2/blob/main/Utils/all_langs.csv">Foreign languages</a>
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[TTS Demo](https://huggingface.co/dkounadis/artificial-styletts2/blob/main/demo.py) save `demo.wav`
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build_en_foreign_accents.py
ADDED
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| 1 |
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import os
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import numpy as np
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import soundfile
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import msinference
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foreign_accents_en = os.listdir('assets/wavs/mimic3_foreign/') # build by mimic3 USE assets/wavs/style_vector/ for native
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foreign_accents_en = sorted(foreign_accents_en)
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def tts_entry(text='A quick brown fox jumps over the lazy dog. Sweet dreams are made of this, I traveled the world and the seven seas.',
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voice='af_ZA/google-nwu_1919', # 'serbian', # 'en_US/vctk_low#p276', 'isl', 'abi',
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speed=1.4, # only for non-english
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affect = True # False = high clarity for partially sight
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):
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'''returns 24kHZ np.array TTS
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voice : 'en_US/vctk_low#p276' # from English voices -> https://audeering.github.io/shift/
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or
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voice : FOREIGN ACCENTS
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or
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voice : 'deu' # from LHS code -> https://huggingface.co/dkounadis/artificial-styletts2/blob/main/Utils/all_langs.csv
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'''
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# StyleTTS2 - English
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# mimic-3 format of voice (English txt - English accent)
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if ('en_US/' in voice) or ('en_UK/' in voice):
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a = '' if affect else 'v2/'
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style_vector = msinference.compute_style('assets/wavs/style_vector/' + a + voice.replace(
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'/', '_').replace('#', '_').replace(
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'cmu-arctic', 'cmu_arctic').replace(
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'_low', '') + '.wav')
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x = msinference.inference(text,
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style_vector,
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alpha=0.3,
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beta=0.7,
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diffusion_steps=7,
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embedding_scale=1)
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# mimic-3 format of voice (English text - Foreign accent)
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elif '_' in voice: # MSS-TTS dont have '_' HOWEVER all assets/wavs/mimic3_foreign_4x have '_'
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style_vector = msinference.compute_style('assets/wavs/mimic3_foreign_4x/' + voice.replace(
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'/', '_').replace('#', '_').replace(
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'cmu-arctic', 'cmu_arctic').replace(
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'_low', '') + '.wav')
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x = msinference.inference(text,
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style_vector,
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alpha=0.3,
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beta=0.7,
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diffusion_steps=7,
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embedding_scale=1)
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# Fallback - MMS TTS - Non-English
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else:
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# dont split foreign sentences: Avoids re-load of VITS & random speaker change issue
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x = msinference.foreign(text=text,
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lang=voice, # voice = 'romanian', 'serbian' 'hungarian'
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speed=speed) # normalisation externally
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# volume
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x /= np.abs(x).max() + 1e-7 # amplify speech to full [-1,1]
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print(x.shape, 'TTS OK')
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return x
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ONLY_PARSE_TABLE = False # also generate .wavs if not already uploaded to issue and links are taken
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if not ONLY_PARSE_TABLE:
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from pathlib import Path
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Path('foreign_accents_en_dir/').mkdir(parents=True, exist_ok=True)
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for v in foreign_accents_en:
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_str = v[:-4] # strip .wav
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print(_str)
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try:
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soundfile.write('foreign_accents_en_dir/' + v, tts_entry(voice=_str), 24000)
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# checkt out folder to count all phonemized voices
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except RuntimeError:
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# return F.conv2d(input, weight, bias, self.stride, # ENGLISH letters not phonemisable for this ACCENT/LANG
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# RuntimeError: Calculated padded input size per channel: (5 x 4). Kernel size: (5 x 5). Kernel size can't be greater than actual input size
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print('SKIP', _str)
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# --------------------------------------------------- Uploads in hf issue
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upload_wav = ['<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/tcnoTH-oHKC582O_LFlWF.wav"></audio>',
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'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/lsMnciJ8SjdVHHm7r3fWj.wav"></audio>',
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'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/PCvruWc3TeGrQT49Ysx7m.wav"></audio>',
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'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/0phadlvni_1Wqpaontq0R.wav"></audio>',
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| 102 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/OpDULPOgboiwGdSdJNp9N.wav"></audio>',
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| 103 |
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'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/rFte6QmNZZ68RVD5rK10n.wav"></audio>',
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| 104 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/Zrvwb3uGTXXQzbiJjMAKD.wav"></audio>',
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| 105 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/Sg8TwofY5T_NcleMzkSrR.wav"></audio>',
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| 106 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/5si01GF0nkn-Gz0x6nesw.wav"></audio>',
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| 107 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/1Lf-I29-7PDhKlIvDstnY.wav"></audio>',
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| 108 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/fNwY7aK5CfZH6GcEWiacP.wav"></audio>',
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| 109 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/OPmjl9NPbxy41O7nYGEVB.wav"></audio>',
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| 110 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/9hf7B1hRGb_FVyeg9uAOD.wav"></audio>',
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| 111 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/zqDGx-01TwRfWM3bN60rM.wav"></audio>',
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| 112 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/VHy2T7WGmO3G6KNetaAdh.wav"></audio>',
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| 113 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/3__dS3cWkNHhyUnbwucdM.wav"></audio>',
|
| 114 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/uyj76HsI5JuRrQ4kQR08J.wav"></audio>',
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| 115 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/EAvtFGcGywlYD-UXr-CCp.wav"></audio>',
|
| 116 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/e3eQuOZaflCBa5s8wz2Ed.wav"></audio>',
|
| 117 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/lxFK9F5fB0NkdKQcCdssi.wav"></audio>',
|
| 118 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/c-_VsUOHnMSLQIKi0_4PQ.wav"></audio>',
|
| 119 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/9IbYJ8zrrvI_xyS3iCmLR.wav"></audio>',
|
| 120 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/g2IqCY0_od5p3I5A90DEn.wav"></audio>',
|
| 121 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/zL5_-rxwphgmLNyPM23f4.wav"></audio>',
|
| 122 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/2vQPOru4NdTbH616Q_1yN.wav"></audio>',
|
| 123 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/uwpaoAoMPDvppyyeFo5tJ.wav"></audio>',
|
| 124 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/HdgqQIO3VpSufpjLIZQF2.wav"></audio>',
|
| 125 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/MzseVJh_bywZ3aCSOQXQM.wav"></audio>',
|
| 126 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/Www8hep27Hj7MmkBIgLZL.wav"></audio>',
|
| 127 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/xfZc4UfdncqYSBPGH0UU6.wav"></audio>',
|
| 128 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/uGdqyy3_AGYVVKZPNipJq.wav"></audio>',
|
| 129 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/cY7mdGf5B9sSzdua2JO3C.wav"></audio>',
|
| 130 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/NN67iueryypo1c5LjZipL.wav"></audio>',
|
| 131 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/kLGMvy4nnpvvBxtsDVbRq.wav"></audio>',
|
| 132 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/5sCT2T7OwBm9J_jEqVtNn.wav"></audio>',
|
| 133 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/KobQIA3hZBP8gYtxi8Vuz.wav"></audio>',
|
| 134 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/xdiFcfnDu1Z5YbU3vSNkL.wav"></audio>',
|
| 135 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/BbFpWYrG2t5k23eAjo5Ph.wav"></audio>',
|
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| 247 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/LkozDdCOAlPrhI-iizlL3.wav"></audio>',
|
| 248 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/V0zhJ1NBe5IOLnsWUM7F-.wav"></audio>',
|
| 249 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/0-iGSA0V4ccAd1L4dRy4u.wav"></audio>',
|
| 250 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/UBeF3qL3rrEUx1cI5U2Aj.wav"></audio>',
|
| 251 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/02OC39IfinLCkQfPbEGCK.wav"></audio>',
|
| 252 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/lIH0vlVplKOU3k8XdR2tc.wav"></audio>',
|
| 253 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/r6tmrXY0C3ovqbnFZq_kz.wav"></audio>',
|
| 254 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/4eazdEx8Qd8C-gDAYM5Ag.wav"></audio>',
|
| 255 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/0oeQzDyE6XKmF-eHGOkxz.wav"></audio>',
|
| 256 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/ZC6s_SYFQFTltOGWbfaDV.wav"></audio>',
|
| 257 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/Scrk2urbg__EdmmfyfiKx.wav"></audio>',
|
| 258 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/tuFuxqina3efoorJwJ58a.wav"></audio>',
|
| 259 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/yTzaI09nCeAWn7YIrJfvU.wav"></audio>',
|
| 260 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/_ynUkagAFqUv14fTXB-KK.wav"></audio>',
|
| 261 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/SbTARXCj-ZH-2Cj1kzeD_.wav"></audio>',
|
| 262 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/VqYyJbRmpn23nK1gbIB-M.wav"></audio>',
|
| 263 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/gn9RGN5oQvpphYzx4EhYN.wav"></audio>',
|
| 264 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/20vvUcCws6rc6b24-evf9.wav"></audio>',
|
| 265 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/2inq2YStIoMR3CRrmaoOi.wav"></audio>',
|
| 266 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/ZH64TD5UzNEEK7xjQLLTI.wav"></audio>',
|
| 267 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/1H8NOE2Tw5gAnh-q_H8nG.wav"></audio>',
|
| 268 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/ia2sshLbuJu3a32EAiEOM.wav"></audio>',
|
| 269 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/ZPNlhj8vtD2RyUFqApt2M.wav"></audio>',
|
| 270 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/DPrePiOKrMz7FwJYqDyJj.wav"></audio>',
|
| 271 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/0jQXsWuJHtSKK1yPI1Mps.wav"></audio>',
|
| 272 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/BaX7HIMfDQA7lyr_LAc6D.wav"></audio>',
|
| 273 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/d0l5VeuG4XaL2mleVqCrV.wav"></audio>',
|
| 274 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/BtohNvfJQn9N6o7XNsDVF.wav"></audio>',
|
| 275 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/4xSqqN71t9ILvBaKzHx2h.wav"></audio>',
|
| 276 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/wTAo-xeUJHbJv7HAad1TM.wav"></audio>',
|
| 277 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/oGqYRCnRfjLUsTtp0jhz9.wav"></audio>',
|
| 278 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/iBbnrgCxhtLWZWazCg0Rw.wav"></audio>',
|
| 279 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/AKvHCiex8Khs8T0lv399w.wav"></audio>',
|
| 280 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/-vdE3w_5cWZzx-d754QFz.wav"></audio>',
|
| 281 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/67qn-oD7FgY7SKdg7QCzx.wav"></audio>',
|
| 282 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/8JVjMUWLJ2SBd_ozLkV_O.wav"></audio>',
|
| 283 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/T3W-dvmMFd081QVBKTSan.wav"></audio>',
|
| 284 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/rff6hS2OBzL_LPnCItVLa.wav"></audio>',
|
| 285 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/c_2QIF2FtHAkQwZKjEIGd.wav"></audio>',
|
| 286 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/OS9GMVIXzqWkg3zPpqjLx.wav"></audio>',
|
| 287 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/VZx-MrOefIBUjVci8fsQV.wav"></audio>',
|
| 288 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/hGH8ERqfJY5P4WOAHkT0j.wav"></audio>',
|
| 289 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/B5_I-RHhlPfENt1U2qNac.wav"></audio>',
|
| 290 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/7z5yf1shPZ6K1lA4kq9tC.wav"></audio>',
|
| 291 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/gYvnDFevsXDo7uDJFhf8Z.wav"></audio>',
|
| 292 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/zdQL6FxSaGR0eesXMgJZY.wav"></audio>',
|
| 293 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/6Tzg1D1emdIGdx1dBVKk6.wav"></audio>',
|
| 294 |
+
'<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/65ae91633db2280ece0a6b02/cfw1YoFofxlI42871v9GL.wav"></audio>',]
|
| 295 |
+
|
| 296 |
+
tmp = '<table><tr><th> </th><th> voice </th><th> TTS </th></tr>'
|
| 297 |
+
for j, (voice, _f) in enumerate(zip(sorted(os.listdir('foreign_accents_en_dir/')), upload_wav)):
|
| 298 |
+
tmp += f'<tr>\n<td>\n\n{j}\n\n</td>\n<td>\n\n {voice[:-4]} \n\n</td>\n<td>\n\n {_f} \n\n</td>\n</tr>\n'
|
| 299 |
+
|
| 300 |
+
tmp += '\n\n</table>'
|
| 301 |
+
with open('table_for_issue_accents_upload.txt', 'w') as f:
|
| 302 |
+
f.write(tmp)
|
demo.py
CHANGED
|
@@ -4,56 +4,56 @@ import msinference
|
|
| 4 |
|
| 5 |
|
| 6 |
def tts_entry(text='A quick brown fox jumps over the lazy dog. Sweet dreams are made of this, I traveled the world and the seven seas.',
|
| 7 |
-
voice='af_ZA/google-nwu_1919', # 'serbian', # 'en_US/vctk_low#p276', 'isl', 'abi',
|
| 8 |
speed=1.4, # only for non-english
|
| 9 |
affect = True # False = high clarity for partially sight
|
| 10 |
):
|
| 11 |
'''returns 24kHZ np.array TTS
|
| 12 |
-
|
| 13 |
voice : 'en_US/vctk_low#p276' # from English voices -> https://audeering.github.io/shift/
|
| 14 |
-
|
| 15 |
or
|
| 16 |
-
|
| 17 |
voice : FOREIGN ACCENTS
|
| 18 |
-
|
| 19 |
-
or
|
| 20 |
-
|
| 21 |
voice : 'deu' # from LHS code -> https://huggingface.co/dkounadis/artificial-styletts2/blob/main/Utils/all_langs.csv
|
| 22 |
'''
|
| 23 |
|
| 24 |
-
# StyleTTS2 -
|
| 25 |
-
|
| 26 |
# mimic-3 format of voice (English txt - English accent)
|
| 27 |
|
| 28 |
-
if ('en_US/' in voice) or ('en_UK/' in voice):
|
| 29 |
a = '' if affect else 'v2/'
|
| 30 |
style_vector = msinference.compute_style('assets/wavs/style_vector/' + a + voice.replace(
|
| 31 |
'/', '_').replace('#', '_').replace(
|
| 32 |
'cmu-arctic', 'cmu_arctic').replace(
|
| 33 |
'_low', '') + '.wav')
|
| 34 |
-
|
| 35 |
x = msinference.inference(text,
|
| 36 |
style_vector,
|
| 37 |
alpha=0.3,
|
| 38 |
beta=0.7,
|
| 39 |
diffusion_steps=7,
|
| 40 |
embedding_scale=1)
|
| 41 |
-
|
| 42 |
-
# mimic-3 format of voice (English text - Foreign accent)
|
| 43 |
-
|
| 44 |
-
elif '_' in
|
| 45 |
style_vector = msinference.compute_style('assets/wavs/mimic3_foreign_4x/' + voice.replace(
|
| 46 |
'/', '_').replace('#', '_').replace(
|
| 47 |
'cmu-arctic', 'cmu_arctic').replace(
|
| 48 |
'_low', '') + '.wav')
|
| 49 |
-
|
| 50 |
x = msinference.inference(text,
|
| 51 |
style_vector,
|
| 52 |
alpha=0.3,
|
| 53 |
beta=0.7,
|
| 54 |
diffusion_steps=7,
|
| 55 |
embedding_scale=1)
|
| 56 |
-
|
| 57 |
|
| 58 |
# Fallback - MMS TTS - Non-English
|
| 59 |
|
|
|
|
| 4 |
|
| 5 |
|
| 6 |
def tts_entry(text='A quick brown fox jumps over the lazy dog. Sweet dreams are made of this, I traveled the world and the seven seas.',
|
| 7 |
+
voice='af_ZA/google-nwu_1919', # 'serbian', # 'en_US/vctk_low#p276', 'isl', 'abi',
|
| 8 |
speed=1.4, # only for non-english
|
| 9 |
affect = True # False = high clarity for partially sight
|
| 10 |
):
|
| 11 |
'''returns 24kHZ np.array TTS
|
| 12 |
+
|
| 13 |
voice : 'en_US/vctk_low#p276' # from English voices -> https://audeering.github.io/shift/
|
| 14 |
+
|
| 15 |
or
|
| 16 |
+
|
| 17 |
voice : FOREIGN ACCENTS
|
| 18 |
+
|
| 19 |
+
or
|
| 20 |
+
|
| 21 |
voice : 'deu' # from LHS code -> https://huggingface.co/dkounadis/artificial-styletts2/blob/main/Utils/all_langs.csv
|
| 22 |
'''
|
| 23 |
|
| 24 |
+
# StyleTTS2 - En
|
| 25 |
+
|
| 26 |
# mimic-3 format of voice (English txt - English accent)
|
| 27 |
|
| 28 |
+
if ('en_US/' in voice) or ('en_UK/' in voice):
|
| 29 |
a = '' if affect else 'v2/'
|
| 30 |
style_vector = msinference.compute_style('assets/wavs/style_vector/' + a + voice.replace(
|
| 31 |
'/', '_').replace('#', '_').replace(
|
| 32 |
'cmu-arctic', 'cmu_arctic').replace(
|
| 33 |
'_low', '') + '.wav')
|
| 34 |
+
|
| 35 |
x = msinference.inference(text,
|
| 36 |
style_vector,
|
| 37 |
alpha=0.3,
|
| 38 |
beta=0.7,
|
| 39 |
diffusion_steps=7,
|
| 40 |
embedding_scale=1)
|
| 41 |
+
|
| 42 |
+
# mimic-3 format of voice (English text - Foreign accent)
|
| 43 |
+
|
| 44 |
+
elif '_' in voice:
|
| 45 |
style_vector = msinference.compute_style('assets/wavs/mimic3_foreign_4x/' + voice.replace(
|
| 46 |
'/', '_').replace('#', '_').replace(
|
| 47 |
'cmu-arctic', 'cmu_arctic').replace(
|
| 48 |
'_low', '') + '.wav')
|
| 49 |
+
|
| 50 |
x = msinference.inference(text,
|
| 51 |
style_vector,
|
| 52 |
alpha=0.3,
|
| 53 |
beta=0.7,
|
| 54 |
diffusion_steps=7,
|
| 55 |
embedding_scale=1)
|
| 56 |
+
|
| 57 |
|
| 58 |
# Fallback - MMS TTS - Non-English
|
| 59 |
|