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Parent(s):
3664c30
updated ui, fixed audio inference thing, need to fix model selecting. ilaria tts added (#1)
Browse files- updated ui, fixed audio inference thing, need to fix model selecting. ilaria tts added (f7216ea4ce7b4821938cea9befa19e21112e5087)
Co-authored-by: Mikus <cappuch@users.noreply.huggingface.co>
- app.py +236 -209
- tts_voice.py +230 -0
app.py
CHANGED
@@ -1,209 +1,236 @@
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import gradio as gr
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import requests
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import random
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import os
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import zipfile # built in module for unzipping files (thank god)
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import librosa
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import time
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from infer_rvc_python import BaseLoader
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from pydub import AudioSegment
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audio_files,
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outputs=[
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#
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gr.
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)
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import gradio as gr
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import requests
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import random
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import os
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import zipfile # built in module for unzipping files (thank god)
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import librosa
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import time
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from infer_rvc_python import BaseLoader
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from pydub import AudioSegment
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from tts_voice import tts_order_voice
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import edge_tts
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import tempfile
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import anyio
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language_dict = tts_order_voice
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# ilaria tts implementation :rofl:
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async def text_to_speech_edge(text, language_code):
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voice = language_dict[language_code]
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communicate = edge_tts.Communicate(text, voice)
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with tempfile.NamedTemporaryFile(delete=False, suffix=".mp3") as tmp_file:
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tmp_path = tmp_file.name
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await communicate.save(tmp_path)
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return tmp_path
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# fucking dogshit toggle
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try:
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import spaces
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spaces_status = True
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except ImportError:
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spaces_status = False
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converter = BaseLoader(only_cpu=False, hubert_path=None, rmvpe_path=None) # <- yeah so like this handles rvc
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global pth_file
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global index_file
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pth_file = "model.pth"
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index_file = "model.index"
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#CONFIGS
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TEMP_DIR = "temp"
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MODEL_PREFIX = "model"
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PITCH_ALGO_OPT = [
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"pm",
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"harvest",
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"crepe",
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"rmvpe",
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"rmvpe+",
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]
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os.makedirs(TEMP_DIR, exist_ok=True)
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def unzip_file(file):
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filename = os.path.basename(file).split(".")[0] # converts "model.zip" to "model" so we can do things
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with zipfile.ZipFile(file, 'r') as zip_ref:
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zip_ref.extractall(os.path.join(TEMP_DIR, filename)) # might not be very ram efficient...
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return True
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def progress_bar(total, current): # best progress bar ever trust me sunglasses emoji 😎
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return "[" + "=" * int(current / total * 20) + ">" + " " * (20 - int(current / total * 20)) + "] " + str(int(current / total * 100)) + "%"
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def download_from_url(url, filename=None):
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if "huggingface" not in url:
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return ["The URL must be from huggingface", "Failed", "Failed"]
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if filename is None:
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filename = os.path.join(TEMP_DIR, MODEL_PREFIX + str(random.randint(1, 1000)) + ".zip")
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response = requests.get(url)
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total = int(response.headers.get('content-length', 0)) # bytes to download (length of the file)
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if total > 500000000:
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return ["The file is too large. You can only download files up to 500 MB in size.", "Failed", "Failed"]
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current = 0
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with open(filename, "wb") as f:
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for data in response.iter_content(chunk_size=4096): # download in chunks of 4096 bytes (4kb - helps with memory usage and speed)
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f.write(data)
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current += len(data)
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print(progress_bar(total, current), end="\r") # \r is a carriage return, it moves the cursor to the start of the line so its like tqdm sunglasses emoji 😎
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# unzip because the model is in a zip file lel
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try:
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unzip_file(filename)
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except Exception as e:
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return ["Failed to unzip the file", "Failed", "Failed"] # return early if it fails and like tell the user but its dogshit hahahahahahaha 😎 According to all known laws aviation, there is no way a bee should be able to fly.
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unzipped_dir = os.path.join(TEMP_DIR, os.path.basename(filename).split(".")[0]) # just do what we did in unzip_file because we need the directory
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pth_files = []
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index_files = []
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for root, dirs, files in os.walk(unzipped_dir): # could be done more efficiently because nobody stores models in subdirectories but like who cares (it's a futureproofing thing lel)
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for file in files:
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if file.endswith(".pth"):
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pth_files.append(os.path.join(root, file))
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elif file.endswith(".index"):
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index_files.append(os.path.join(root, file))
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print(pth_files, index_files) # debug print because im fucking stupid and i need to see what is going on
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global pth_file
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global index_file
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pth_file = pth_files[0]
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index_file = index_files[0]
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return ["Downloaded as " + filename, pth_files[0], index_files[0]]
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if spaces_status:
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@spaces.GPU()
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def convert_now(audio_files, random_tag, converter):
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return converter(
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audio_files,
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random_tag,
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overwrite=False,
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parallel_workers=8
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)
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else:
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def convert_now(audio_files, random_tag, converter):
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return converter(
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audio_files,
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random_tag,
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overwrite=False,
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parallel_workers=8
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)
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def run(
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audio_files,
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file_m,
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pitch_alg,
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pitch_lvl,
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file_index,
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index_inf,
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r_m_f,
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e_r,
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c_b_p,
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):
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if not audio_files:
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raise ValueError("The audio pls")
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if isinstance(audio_files, str):
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audio_files = [audio_files]
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try:
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duration_base = librosa.get_duration(filename=audio_files[0])
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print("Duration:", duration_base)
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except Exception as e:
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print(e)
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random_tag = "USER_"+str(random.randint(10000000, 99999999))
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converter.apply_conf(
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tag=random_tag,
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file_model=file_m,
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pitch_algo=pitch_alg,
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pitch_lvl=pitch_lvl,
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file_index=file_index,
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index_influence=index_inf,
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respiration_median_filtering=r_m_f,
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envelope_ratio=e_r,
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consonant_breath_protection=c_b_p,
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resample_sr=44100 if audio_files[0].endswith('.mp3') else 0,
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)
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time.sleep(0.1)
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result = convert_now(audio_files, random_tag, converter)
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return result[0]
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with gr.Blocks() as demo:
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gr.Markdown("## Ilaria RVC 💖")
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with gr.Tab("Inference"):
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with gr.Tab("Ilaria TTS"):
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text_tts = gr.Textbox(label="Text", placeholder="Hello!", lines=3, interactive=True,)
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dropdown_tts = gr.Dropdown(label="Language and Model",choices=list(language_dict.keys()),interactive=True, value=list(language_dict.keys())[0])
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button_tts = gr.Button("Convert", variant="primary",)
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output_tts = gr.Audio(type="filepath", label="Output",)
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button_tts.click(text_to_speech_edge, inputs=[text_tts, dropdown_tts], outputs=[output_tts])
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sound_gui = gr.Audio(value=None,type="filepath",autoplay=False,visible=True,)
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pth_file_ui = gr.Textbox(label="Model pth file",value=pth_file,visible=False,interactive=False,) # gradio is fucking weird (im with stupid v)
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index_file_ui = gr.Textbox(label="Index pth file",value=index_file,visible=False,interactive=False,) # gradio is fucking weird (im with stupid ^)
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pitch_algo_conf = gr.Dropdown(PITCH_ALGO_OPT,value=PITCH_ALGO_OPT[4],label="Pitch algorithm",visible=True,interactive=True,)
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pitch_lvl_conf = gr.Slider(label="Pitch level",minimum=-24,maximum=24,step=1,value=0,visible=True,interactive=True,)
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index_inf_conf = gr.Slider(minimum=0,maximum=1,label="Index influence",value=0.75,)
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respiration_filter_conf = gr.Slider(minimum=0,maximum=7,label="Respiration median filtering",value=3,step=1,interactive=True,)
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envelope_ratio_conf = gr.Slider(minimum=0,maximum=1,label="Envelope ratio",value=0.25,interactive=True,)
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consonant_protec_conf = gr.Slider(minimum=0,maximum=0.5,label="Consonant breath protection",value=0.5,interactive=True,)
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button_conf = gr.Button("Convert",variant="primary",)
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output_conf = gr.Audio(type="filepath",label="Output",)
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button_conf.click(lambda :None, None, output_conf)
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button_conf.click(
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run,
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inputs=[
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sound_gui,
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pth_file_ui,
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pitch_algo_conf,
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pitch_lvl_conf,
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index_file_ui, # put a bullet through my head
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index_inf_conf,
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respiration_filter_conf,
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envelope_ratio_conf,
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consonant_protec_conf,
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],
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outputs=[output_conf],
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)
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with gr.Tab("Download Model"):
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# markdown
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gr.Markdown(
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"Download the model from the following URL and upload it here. (Hugginface RVC model)"
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)
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model = gr.Textbox(lines=1, label="Model URL")
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download_button = gr.Button("Download Model")
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status = gr.Textbox(lines=1, label="Status", placeholder="Waiting....", interactive=False)
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model_pth = gr.Textbox(lines=1, label="Model pth file", placeholder="Waiting....", interactive=False)
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index_pth = gr.Textbox(lines=1, label="Index pth file", placeholder="Waiting....", interactive=False)
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download_button.click(download_from_url, model, outputs=[status, model_pth, index_pth])
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set_model_button = gr.Button("Set Model")
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#set_model_button.click(
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with gr.Tab("Credits"):
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gr.Markdown(
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"""
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Ilaria RVC made by [Ilaria](https://huggingface.co/TheStinger) suport her on [ko-fi](https://ko-fi.com/ilariaowo)
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The Inference code is made by [r3gm](https://huggingface.co/r3gm) (his module helped form this space 💖)
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made with ❤️ by [mikus](https://github.com/cappuch) - i hacked it up lel
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"""
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)
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demo.queue(api_open=False).launch(show_api=False) # idk ilaria if you want or dont want to
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tts_voice.py
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1 |
+
tts_order_voice = {'English-Jenny (Woman)': 'en-US-JennyNeural',
|
2 |
+
'English-Guy (Man)': 'en-US-GuyNeural',
|
3 |
+
'English-Ana (Woman)': 'en-US-AnaNeural',
|
4 |
+
'English-Aria (Woman)': 'en-US-AriaNeural',
|
5 |
+
'English-Christopher (Man)': 'en-US-ChristopherNeural',
|
6 |
+
'English-Eric (Man)': 'en-US-EricNeural',
|
7 |
+
'English-Michelle (Woman)': 'en-US-MichelleNeural',
|
8 |
+
'English-Roger (Man)': 'en-US-RogerNeural',
|
9 |
+
'Spanish (Mexican)-Dalia (Woman)': 'es-MX-DaliaNeural',
|
10 |
+
'Spanish (Mexican)-Jorge- (Man)': 'es-MX-JorgeNeural',
|
11 |
+
'Korean-Sun-Hi- (Woman)': 'ko-KR-SunHiNeural',
|
12 |
+
'Korean-InJoon- (Man)': 'ko-KR-InJoonNeural',
|
13 |
+
'Thai-Premwadee- (Woman)': 'th-TH-PremwadeeNeural',
|
14 |
+
'Thai-Niwat- (Man)': 'th-TH-NiwatNeural',
|
15 |
+
'Vietnamese-HoaiMy- (Woman)': 'vi-VN-HoaiMyNeural',
|
16 |
+
'Vietnamese-NamMinh- (Man)': 'vi-VN-NamMinhNeural',
|
17 |
+
'Japanese-Nanami- (Woman)': 'ja-JP-NanamiNeural',
|
18 |
+
'Japanese-Keita- (Man)': 'ja-JP-KeitaNeural',
|
19 |
+
'French-Denise- (Woman)': 'fr-FR-DeniseNeural',
|
20 |
+
'French-Eloise- (Woman)': 'fr-FR-EloiseNeural',
|
21 |
+
'French-Henri- (Man)': 'fr-FR-HenriNeural',
|
22 |
+
'Brazilian-Francisca- (Woman)': 'pt-BR-FranciscaNeural',
|
23 |
+
'Brazilian-Antonio- (Man)': 'pt-BR-AntonioNeural',
|
24 |
+
'Indonesian-Ardi- (Man)': 'id-ID-ArdiNeural',
|
25 |
+
'Indonesian-Gadis- (Woman)': 'id-ID-GadisNeural',
|
26 |
+
'Hebrew-Avri- (Man)': 'he-IL-AvriNeural',
|
27 |
+
'Hebrew-Hila- (Woman)': 'he-IL-HilaNeural',
|
28 |
+
'Italian-Isabella- (Woman)': 'it-IT-IsabellaNeural',
|
29 |
+
'Italian-Diego- (Man)': 'it-IT-DiegoNeural',
|
30 |
+
'Italian-Elsa- (Woman)': 'it-IT-ElsaNeural',
|
31 |
+
'Dutch-Colette- (Woman)': 'nl-NL-ColetteNeural',
|
32 |
+
'Dutch-Fenna- (Woman)': 'nl-NL-FennaNeural',
|
33 |
+
'Dutch-Maarten- (Man)': 'nl-NL-MaartenNeural',
|
34 |
+
'Malese-Osman- (Man)': 'ms-MY-OsmanNeural',
|
35 |
+
'Malese-Yasmin- (Woman)': 'ms-MY-YasminNeural',
|
36 |
+
'Norwegian-Pernille- (Woman)': 'nb-NO-PernilleNeural',
|
37 |
+
'Norwegian-Finn- (Man)': 'nb-NO-FinnNeural',
|
38 |
+
'Swedish-Sofie- (Woman)': 'sv-SE-SofieNeural',
|
39 |
+
'ArabicSwedish-Mattias- (Man)': 'sv-SE-MattiasNeural',
|
40 |
+
'Arabic-Hamed- (Man)': 'ar-SA-HamedNeural',
|
41 |
+
'Arabic-Zariyah- (Woman)': 'ar-SA-ZariyahNeural',
|
42 |
+
'Greek-Athina- (Woman)': 'el-GR-AthinaNeural',
|
43 |
+
'Greek-Nestoras- (Man)': 'el-GR-NestorasNeural',
|
44 |
+
'German-Katja- (Woman)': 'de-DE-KatjaNeural',
|
45 |
+
'German-Amala- (Woman)': 'de-DE-AmalaNeural',
|
46 |
+
'German-Conrad- (Man)': 'de-DE-ConradNeural',
|
47 |
+
'German-Killian- (Man)': 'de-DE-KillianNeural',
|
48 |
+
'Afrikaans-Adri- (Woman)': 'af-ZA-AdriNeural',
|
49 |
+
'Afrikaans-Willem- (Man)': 'af-ZA-WillemNeural',
|
50 |
+
'Ethiopian-Ameha- (Man)': 'am-ET-AmehaNeural',
|
51 |
+
'Ethiopian-Mekdes- (Woman)': 'am-ET-MekdesNeural',
|
52 |
+
'Arabic (UAD)-Fatima- (Woman)': 'ar-AE-FatimaNeural',
|
53 |
+
'Arabic (UAD)-Hamdan- (Man)': 'ar-AE-HamdanNeural',
|
54 |
+
'Arabic (Bahrain)-Ali- (Man)': 'ar-BH-AliNeural',
|
55 |
+
'Arabic (Bahrain)-Laila- (Woman)': 'ar-BH-LailaNeural',
|
56 |
+
'Arabic (Algeria)-Ismael- (Man)': 'ar-DZ-IsmaelNeural',
|
57 |
+
'Arabic (Egypt)-Salma- (Woman)': 'ar-EG-SalmaNeural',
|
58 |
+
'Arabic (Egypt)-Shakir- (Man)': 'ar-EG-ShakirNeural',
|
59 |
+
'Arabic (Iraq)-Bassel- (Man)': 'ar-IQ-BasselNeural',
|
60 |
+
'Arabic (Iraq)-Rana- (Woman)': 'ar-IQ-RanaNeural',
|
61 |
+
'Arabic (Jordan)-Sana- (Woman)': 'ar-JO-SanaNeural',
|
62 |
+
'Arabic (Jordan)-Taim- (Man)': 'ar-JO-TaimNeural',
|
63 |
+
'Arabic (Kuwait)-Fahed- (Man)': 'ar-KW-FahedNeural',
|
64 |
+
'Arabic (Kuwait)-Noura- (Woman)': 'ar-KW-NouraNeural',
|
65 |
+
'Arabic (Lebanon)-Layla- (Woman)': 'ar-LB-LaylaNeural',
|
66 |
+
'Arabic (Lebanon)-Rami- (Man)': 'ar-LB-RamiNeural',
|
67 |
+
'Arabic (Libya)-Iman- (Woman)': 'ar-LY-ImanNeural',
|
68 |
+
'Arabic (Libya)-Omar- (Man)': 'ar-LY-OmarNeural',
|
69 |
+
'Arabic (Morocco)-Jamal- (Man)': 'ar-MA-JamalNeural',
|
70 |
+
'Arabic (Morocco)-Mouna- (Woman)': 'ar-MA-MounaNeural',
|
71 |
+
'Arabic (Oman)-Abdullah- (Man)': 'ar-OM-AbdullahNeural',
|
72 |
+
'Arabic (Oman)-Aysha- (Woman)': 'ar-OM-AyshaNeural',
|
73 |
+
'Arabic (Qatar)-Amal- (Woman)': 'ar-QA-AmalNeural',
|
74 |
+
'Arabic (Qatar)-Moaz- (Man)': 'ar-QA-MoazNeural',
|
75 |
+
'Arabic (Syrian Arab Republic)-Amany- (Woman)': 'ar-SY-AmanyNeural',
|
76 |
+
'Arabic (Syrian Arab Republic)-Laith- (Man)': 'ar-SY-LaithNeural',
|
77 |
+
'Arabic (Tunisia)-Hedi- (Man)': 'ar-TN-HediNeural',
|
78 |
+
'Arabic (Tunisia)-Reem- (Woman)': 'ar-TN-ReemNeural',
|
79 |
+
'Arabic (Yemen )-Maryam- (Woman)': 'ar-YE-MaryamNeural',
|
80 |
+
'Arabic (Yemen )-Saleh- (Man)': 'ar-YE-SalehNeural',
|
81 |
+
'Azerbaijani-Babek- (Man)': 'az-AZ-BabekNeural',
|
82 |
+
'Azerbaijani-Banu- (Woman)': 'az-AZ-BanuNeural',
|
83 |
+
'Bulgarian-Borislav- (Man)': 'bg-BG-BorislavNeural',
|
84 |
+
'Bulgarian-Kalina- (Woman)': 'bg-BG-KalinaNeural',
|
85 |
+
'Bengali (Bangladesh)-Nabanita- (Woman)': 'bn-BD-NabanitaNeural',
|
86 |
+
'Bengali (Bangladesh)-Pradeep- (Man)': 'bn-BD-PradeepNeural',
|
87 |
+
'Bengali (India)-Bashkar- (Man)': 'bn-IN-BashkarNeural',
|
88 |
+
'Bengali (India)-Tanishaa- (Woman)': 'bn-IN-TanishaaNeural',
|
89 |
+
'Bosniak (Bosnia and Herzegovina)-Goran- (Man)': 'bs-BA-GoranNeural',
|
90 |
+
'Bosniak (Bosnia and Herzegovina)-Vesna- (Woman)': 'bs-BA-VesnaNeural',
|
91 |
+
'Catalan (Spain)-Joana- (Woman)': 'ca-ES-JoanaNeural',
|
92 |
+
'Catalan (Spain)-Enric- (Man)': 'ca-ES-EnricNeural',
|
93 |
+
'Czech (Czech Republic)-Antonin- (Man)': 'cs-CZ-AntoninNeural',
|
94 |
+
'Czech (Czech Republic)-Vlasta- (Woman)': 'cs-CZ-VlastaNeural',
|
95 |
+
'Welsh (UK)-Aled- (Man)': 'cy-GB-AledNeural',
|
96 |
+
'Welsh (UK)-Nia- (Woman)': 'cy-GB-NiaNeural',
|
97 |
+
'Danish (Denmark)-Christel- (Woman)': 'da-DK-ChristelNeural',
|
98 |
+
'Danish (Denmark)-Jeppe- (Man)': 'da-DK-JeppeNeural',
|
99 |
+
'German (Austria)-Ingrid- (Woman)': 'de-AT-IngridNeural',
|
100 |
+
'German (Austria)-Jonas- (Man)': 'de-AT-JonasNeural',
|
101 |
+
'German (Switzerland)-Jan- (Man)': 'de-CH-JanNeural',
|
102 |
+
'German (Switzerland)-Leni- (Woman)': 'de-CH-LeniNeural',
|
103 |
+
'English (Australia)-Natasha- (Woman)': 'en-AU-NatashaNeural',
|
104 |
+
'English (Australia)-William- (Man)': 'en-AU-WilliamNeural',
|
105 |
+
'English (Canada)-Clara- (Woman)': 'en-CA-ClaraNeural',
|
106 |
+
'English (Canada)-Liam- (Man)': 'en-CA-LiamNeural',
|
107 |
+
'English (UK)-Libby- (Woman)': 'en-GB-LibbyNeural',
|
108 |
+
'English (UK)-Maisie- (Woman)': 'en-GB-MaisieNeural',
|
109 |
+
'English (UK)-Ryan- (Man)': 'en-GB-RyanNeural',
|
110 |
+
'English (UK)-Sonia- (Woman)': 'en-GB-SoniaNeural',
|
111 |
+
'English (UK)-Thomas- (Man)': 'en-GB-ThomasNeural',
|
112 |
+
'English (Hong Kong)-Sam- (Man)': 'en-HK-SamNeural',
|
113 |
+
'English (Hong Kong)-Yan- (Woman)': 'en-HK-YanNeural',
|
114 |
+
'English (Ireland)-Connor- (Man)': 'en-IE-ConnorNeural',
|
115 |
+
'English (Ireland)-Emily- (Woman)': 'en-IE-EmilyNeural',
|
116 |
+
'English (India)-Neerja- (Woman)': 'en-IN-NeerjaNeural',
|
117 |
+
'English (India)-Prabhat- (Man)': 'en-IN-PrabhatNeural',
|
118 |
+
'English (Kenya)-Asilia- (Woman)': 'en-KE-AsiliaNeural',
|
119 |
+
'English (Kenya)-Chilemba- (Man)': 'en-KE-ChilembaNeural',
|
120 |
+
'English (Nigeria)-Abeo- (Man)': 'en-NG-AbeoNeural',
|
121 |
+
'English (Nigeria)-Ezinne- (Woman)': 'en-NG-EzinneNeural',
|
122 |
+
'English (New Zealand)-Mitchell- (Man)': 'en-NZ-MitchellNeural',
|
123 |
+
'English (Philippines)-James- (Man)': 'en-PH-JamesNeural',
|
124 |
+
'English (Philippines)-Rosa- (Woman)': 'en-PH-RosaNeural',
|
125 |
+
'English (Singapore)-Luna- (Woman)': 'en-SG-LunaNeural',
|
126 |
+
'English (Singapore)-Wayne- (Man)': 'en-SG-WayneNeural',
|
127 |
+
'English (Tanzania)-Elimu- (Man)': 'en-TZ-ElimuNeural',
|
128 |
+
'English (Tanzania)-Imani- (Woman)': 'en-TZ-ImaniNeural',
|
129 |
+
'English (South Africa)-Leah- (Woman)': 'en-ZA-LeahNeural',
|
130 |
+
'English (South Africa)-Luke- (Man)': 'en-ZA-LukeNeural',
|
131 |
+
'Spanish (Argentina)-Elena- (Woman)': 'es-AR-ElenaNeural',
|
132 |
+
'Spanish (Argentina)-Tomas- (Man)': 'es-AR-TomasNeural',
|
133 |
+
'Spanish (Bolivia)-Marcelo- (Man)': 'es-BO-MarceloNeural',
|
134 |
+
'Spanish (Bolivia)-Sofia- (Woman)': 'es-BO-SofiaNeural',
|
135 |
+
'Spanish (Colombia)-Gonzalo- (Man)': 'es-CO-GonzaloNeural',
|
136 |
+
'Spanish (Colombia)-Salome- (Woman)': 'es-CO-SalomeNeural',
|
137 |
+
'Spanish (Costa Rica)-Juan- (Man)': 'es-CR-JuanNeural',
|
138 |
+
'Spanish (Costa Rica)-Maria- (Woman)': 'es-CR-MariaNeural',
|
139 |
+
'Spanish (Cuba)-Belkys- (Woman)': 'es-CU-BelkysNeural',
|
140 |
+
'Spanish (Dominican Republic)-Emilio- (Man)': 'es-DO-EmilioNeural',
|
141 |
+
'Spanish (Dominican Republic)-Ramona- (Woman)': 'es-DO-RamonaNeural',
|
142 |
+
'Spanish (Ecuador)-Andrea- (Woman)': 'es-EC-AndreaNeural',
|
143 |
+
'Spanish (Ecuador)-Luis- (Man)': 'es-EC-LuisNeural',
|
144 |
+
'Spanish (Spain)-Alvaro- (Man)': 'es-ES-AlvaroNeural',
|
145 |
+
'Spanish (Spain)-Elvira- (Woman)': 'es-ES-ElviraNeural',
|
146 |
+
'Spanish (Equatorial Guinea)-Teresa- (Woman)': 'es-GQ-TeresaNeural',
|
147 |
+
'Spanish (Guatemala)-Andres- (Man)': 'es-GT-AndresNeural',
|
148 |
+
'Spanish (Guatemala)-Marta- (Woman)': 'es-GT-MartaNeural',
|
149 |
+
'Spanish (Honduras)-Carlos- (Man)': 'es-HN-CarlosNeural',
|
150 |
+
'Spanish (Honduras)-Karla- (Woman)': 'es-HN-KarlaNeural',
|
151 |
+
'Spanish (Nicaragua)-Federico- (Man)': 'es-NI-FedericoNeural',
|
152 |
+
'Spanish (Nicaragua)-Yolanda- (Woman)': 'es-NI-YolandaNeural',
|
153 |
+
'Spanish (Panama)-Margarita- (Woman)': 'es-PA-MargaritaNeural',
|
154 |
+
'Spanish (Panama)-Roberto- (Man)': 'es-PA-RobertoNeural',
|
155 |
+
'Spanish (Peru)-Alex- (Man)': 'es-PE-AlexNeural',
|
156 |
+
'Spanish (Peru)-Camila- (Woman)': 'es-PE-CamilaNeural',
|
157 |
+
'Spanish (Puerto Rico)-Karina- (Woman)': 'es-PR-KarinaNeural',
|
158 |
+
'Spanish (Puerto Rico)-Victor- (Man)': 'es-PR-VictorNeural',
|
159 |
+
'Spanish (Paraguay)-Mario- (Man)': 'es-PY-MarioNeural',
|
160 |
+
'Spanish (Paraguay)-Tania- (Woman)': 'es-PY-TaniaNeural',
|
161 |
+
'Spanish (El Salvador)-Lorena- (Woman)': 'es-SV-LorenaNeural',
|
162 |
+
'Spanish (El Salvador)-Rodrigo- (Man)': 'es-SV-RodrigoNeural',
|
163 |
+
'Spanish (United States)-Alonso- (Man)': 'es-US-AlonsoNeural',
|
164 |
+
'Spanish (United States)-Paloma- (Woman)': 'es-US-PalomaNeural',
|
165 |
+
'Spanish (Uruguay)-Mateo- (Man)': 'es-UY-MateoNeural',
|
166 |
+
'Spanish (Uruguay)-Valentina- (Woman)': 'es-UY-ValentinaNeural',
|
167 |
+
'Spanish (Venezuela)-Paola- (Woman)': 'es-VE-PaolaNeural',
|
168 |
+
'Spanish (Venezuela)-Sebastian- (Man)': 'es-VE-SebastianNeural',
|
169 |
+
'Estonian (Estonia)-Anu- (Woman)': 'et-EE-AnuNeural',
|
170 |
+
'Estonian (Estonia)-Kert- (Man)': 'et-EE-KertNeural',
|
171 |
+
'Persian (Iran)-Dilara- (Woman)': 'fa-IR-DilaraNeural',
|
172 |
+
'Persian (Iran)-Farid- (Man)': 'fa-IR-FaridNeural',
|
173 |
+
'Finnish (Finland)-Harri- (Man)': 'fi-FI-HarriNeural',
|
174 |
+
'Finnish (Finland)-Noora- (Woman)': 'fi-FI-NooraNeural',
|
175 |
+
'French (Belgium)-Charline- (Woman)': 'fr-BE-CharlineNeural',
|
176 |
+
'French (Belgium)-Gerard- (Man)': 'fr-BE-GerardNeural',
|
177 |
+
'French (Canada)-Sylvie- (Woman)': 'fr-CA-SylvieNeural',
|
178 |
+
'French (Canada)-Antoine- (Man)': 'fr-CA-AntoineNeural',
|
179 |
+
'French (Canada)-Jean- (Man)': 'fr-CA-JeanNeural',
|
180 |
+
'French (Switzerland)-Ariane- (Woman)': 'fr-CH-ArianeNeural',
|
181 |
+
'French (Switzerland)-Fabrice- (Man)': 'fr-CH-FabriceNeural',
|
182 |
+
'Irish (Ireland)-Colm- (Man)': 'ga-IE-ColmNeural',
|
183 |
+
'Irish (Ireland)-Orla- (Woman)': 'ga-IE-OrlaNeural',
|
184 |
+
'Galician (Spain)-Roi- (Man)': 'gl-ES-RoiNeural',
|
185 |
+
'Galician (Spain)-Sabela- (Woman)': 'gl-ES-SabelaNeural',
|
186 |
+
'Gujarati (India)-Dhwani- (Woman)': 'gu-IN-DhwaniNeural',
|
187 |
+
'Gujarati (India)-Niranjan- (Man)': 'gu-IN-NiranjanNeural',
|
188 |
+
'Hindi (India)-Madhur- (Man)': 'hi-IN-MadhurNeural',
|
189 |
+
'Hindi (India)-Swara- (Woman)': 'hi-IN-SwaraNeural',
|
190 |
+
'Croatian (Croatia)-Gabrijela- (Woman)': 'hr-HR-GabrijelaNeural',
|
191 |
+
'Croatian (Croatia)-Srecko- (Man)': 'hr-HR-SreckoNeural',
|
192 |
+
'Hungarian (Hungary)-Noemi- (Woman)': 'hu-HU-NoemiNeural',
|
193 |
+
'Hungarian (Hungary)-Tamas- (Man)': 'hu-HU-TamasNeural',
|
194 |
+
'Icelandic (Iceland)-Gudrun- (Woman)': 'is-IS-GudrunNeural',
|
195 |
+
'Icelandic (Iceland)-Gunnar- (Man)': 'is-IS-GunnarNeural',
|
196 |
+
'Javanese (Indonesia)-Dimas- (Man)': 'jv-ID-DimasNeural',
|
197 |
+
'Javanese (Indonesia)-Siti- (Woman)': 'jv-ID-SitiNeural',
|
198 |
+
'Georgian (Georgia)-Eka- (Woman)': 'ka-GE-EkaNeural',
|
199 |
+
'Georgian (Georgia)-Giorgi- (Man)': 'ka-GE-GiorgiNeural',
|
200 |
+
'Kazakh (Kazakhstan)-Aigul- (Woman)': 'kk-KZ-AigulNeural',
|
201 |
+
'Kazakh (Kazakhstan)-Daulet- (Man)': 'kk-KZ-DauletNeural',
|
202 |
+
'Khmer (Cambodia)-Piseth- (Man)': 'km-KH-PisethNeural',
|
203 |
+
'Khmer (Cambodia)-Sreymom- (Woman)': 'km-KH-SreymomNeural',
|
204 |
+
'Kannada (India)-Gagan- (Man)': 'kn-IN-GaganNeural',
|
205 |
+
'Kannada (India)-Sapna- (Woman)': 'kn-IN-SapnaNeural',
|
206 |
+
'Lao (Laos)-Chanthavong- (Man)': 'lo-LA-ChanthavongNeural',
|
207 |
+
'Lao (Laos)-Keomany- (Woman)': 'lo-LA-KeomanyNeural',
|
208 |
+
'Lithuanian (Lithuania)-Leonas- (Man)': 'lt-LT-LeonasNeural',
|
209 |
+
'Lithuanian (Lithuania)-Ona- (Woman)': 'lt-LT-OnaNeural',
|
210 |
+
'Latvian (Latvia)-Everita- (Woman)': 'lv-LV-EveritaNeural',
|
211 |
+
'Latvian (Latvia)-Nils- (Man)': 'lv-LV-NilsNeural',
|
212 |
+
'Macedonian (North Macedonia)-Aleksandar- (Man)': 'mk-MK-AleksandarNeural',
|
213 |
+
'Macedonian (North Macedonia)-Marija- (Woman)': 'mk-MK-MarijaNeural',
|
214 |
+
'Malayalam (India)-Midhun- (Man)': 'ml-IN-MidhunNeural',
|
215 |
+
'Malayalam (India)-Sobhana- (Woman)': 'ml-IN-SobhanaNeural',
|
216 |
+
'Mongolian (Mongolia)-Bataa- (Man)': 'mn-MN-BataaNeural',
|
217 |
+
'Mongolian (Mongolia)-Yesui- (Woman)': 'mn-MN-YesuiNeural',
|
218 |
+
'Marathi (India)-Aarohi- (Woman)': 'mr-IN-AarohiNeural',
|
219 |
+
'Marathi (India)-Manohar- (Man)': 'mr-IN-ManoharNeural',
|
220 |
+
'Maltese (Malta)-Grace- (Woman)': 'mt-MT-GraceNeural',
|
221 |
+
'Maltese (Malta)-Joseph- (Man)': 'mt-MT-JosephNeural',
|
222 |
+
'Burmese (Myanmar)-Nilar- (Woman)': 'my-MM-NilarNeural',
|
223 |
+
'Burmese (Myanmar)-Thiha- (Man)': 'my-MM-ThihaNeural',
|
224 |
+
'Nepali (Nepal)-Hemkala- (Woman)': 'ne-NP-HemkalaNeural',
|
225 |
+
'Nepali (Nepal)-Sagar- (Man)': 'ne-NP-SagarNeural',
|
226 |
+
'Dutch (Belgium)-Arnaud- (Man)': 'nl-BE-ArnaudNeural',
|
227 |
+
'Dutch (Belgium)-Dena- (Woman)': 'nl-BE-DenaNeural',
|
228 |
+
'Polish (Poland)-Marek- (Man)': 'pl-PL-MarekNeural',
|
229 |
+
'Polish (Poland)-Zofia- (Woman)': 'pl-PL-ZofiaNeural',
|
230 |
+
'Pashto (Afghanistan)-Gul Nawaz- (Man)': 'ps-AF-Gul',}
|