[Python Tips] Convert pdf to txt, and use edge-tts to convert txt to MP3 in batches (if you don’t want to read books but want to listen to books, send the source code)

Enterprise 2023-06-11 21:14:09 views: null

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foreword

1. Convert PDF to MP3?

We usually see that many files are in PDF format, and most of the books on the Internet are in this format. Sometimes it is inconvenient to read, or you are afraid of hurting your eyes and cervical spine, so is there a way to convert it into audio, so that you can listen to it on the way to and from get off work.

Here is a popular science, what is TTS? TTS (Text To Speech, Text-to-Speech) is a speech synthesis application that converts files stored in the computer, such as help files or web pages, into natural speech output. edge-tts is Microsoft's speech synthesis technology. It packs the tts provided in the edge browser into a Python third-party package, so that Microsoft's speech synthesis technology can be called for free.

Do it when you think of it, this time we use the free open source library edge-tts to realize the text-to-speech operation, and take a look at the wool of Microsoft edge!

2. Preparation

Converting PDF to audio MP3 files requires two steps. The first step is to convert pdf to txt text; the second step is to convert txt to audio. So we need the following two libraries.

1. Install the pdfplumber package to convert pdf to txt

(base) C:\Users\Administrator>pip install pdfplumber
Collecting pdfplumber
  Downloading pdfplumber-0.9.0-py3-none-any.whl (46 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 46.1/46.1 kB 385.4 kB/s eta 0:00:00
Collecting pdfminer.six==20221105
  Downloading pdfminer.six-20221105-py3-none-any.whl (5.6 MB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5.6/5.6 MB 8.1 MB/s eta 0:00:00
Collecting Wand>=0.6.10
  Downloading Wand-0.6.11-py2.py3-none-any.whl (143 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 143.6/143.6 kB ? eta 0:00:00
Requirement already satisfied: Pillow>=9.1 in d:\programdata\anaconda3\lib\site-packages (from pdfplumber) (9.4.0)
Requirement already satisfied: charset-normalizer>=2.0.0 in d:\programdata\anaconda3\lib\site-packages (from pdfminer.six==20221105->pdfplumber) (2.0.4)
Requirement already satisfied: cryptography>=36.0.0 in d:\programdata\anaconda3\lib\site-packages (from pdfminer.six==20221105->pdfplumber) (39.0.1)
Requirement already satisfied: cffi>=1.12 in d:\programdata\anaconda3\lib\site-packages (from cryptography>=36.0.0->pdfminer.six==20221105->pdfplumber) (1.15.1)
Requirement already satisfied: pycparser in d:\programdata\anaconda3\lib\site-packages (from cffi>=1.12->cryptography>=36.0.0->pdfminer.six==20221105->pdfplumber) (2.21)
Installing collected packages: Wand, pdfminer.six, pdfplumber
Successfully installed Wand-0.6.11 pdfminer.six-20221105 pdfplumber-0.9.0

2. Install the edge-tts package to convert txt to audio

(base) C:\Users\Administrator>pip install edge-tts
Collecting edge-tts
  Downloading edge_tts-6.1.5-py3-none-any.whl (27 kB)
Requirement already satisfied: aiohttp>=3.8.0 in d:\programdata\anaconda3\lib\site-packages (from edge-tts) (3.8.4)
Requirement already satisfied: yarl<2.0,>=1.0 in d:\programdata\anaconda3\lib\site-packages (from aiohttp>=3.8.0->edge-tts) (1.8.2)
Requirement already satisfied: multidict<7.0,>=4.5 in d:\programdata\anaconda3\lib\site-packages (from aiohttp>=3.8.0->edge-tts) (6.0.4)
Requirement already satisfied: frozenlist>=1.1.1 in d:\programdata\anaconda3\lib\site-packages (from aiohttp>=3.8.0->edge-tts) (1.3.3)
Requirement already satisfied: attrs>=17.3.0 in d:\programdata\anaconda3\lib\site-packages (from aiohttp>=3.8.0->edge-tts) (22.1.0)
Requirement already satisfied: async-timeout<5.0,>=4.0.0a3 in d:\programdata\anaconda3\lib\site-packages (from aiohttp>=3.8.0->edge-tts) (4.0.2)
Requirement already satisfied: aiosignal>=1.1.2 in d:\programdata\anaconda3\lib\site-packages (from aiohttp>=3.8.0->edge-tts) (1.3.1)
Requirement already satisfied: charset-normalizer<4.0,>=2.0 in d:\programdata\anaconda3\lib\site-packages (from aiohttp>=3.8.0->edge-tts) (2.0.4)
Requirement already satisfied: idna>=2.0 in d:\programdata\anaconda3\lib\site-packages (from yarl<2.0,>=1.0->aiohttp>=3.8.0->edge-tts) (3.4)
Installing collected packages: edge-tts
Successfully installed edge-tts-6.1.5

3. The code is very simple

# -*- coding: utf-8 -*-

import pdfplumber
import asyncio  
import os
import edge_tts  
from edge_tts import VoicesManager  

async def txt2mp3(txt,mp3,announcer='Microsoft Server Speech Text to Speech Voice (zh-CN, XiaoxiaoNeural)') -> None:
    # 将文本转换为mp3音频
    communicate = edge_tts.Communicate(txt, announcer)  
    await communicate.save(mp3)

async def get_announcer(Gender="Female", Language="zh"):
    voices = await VoicesManager.create()  
    voice = voices.find(Gender=Gender, Language=Language)
    print(voice)

if __name__ == "__main__":  

    rootdir = 'd:\\python_csdn\\files\\'
    filename = '道德经.pdf'
    pdf_path = rootdir+filename
    announcer='Microsoft Server Speech Text to Speech Voice (zh-CN, XiaoxiaoNeural)'

    if 0:
        # 查看可用播音角色(性别女性，语言为中文)
        asyncio.run(get_announcer(Gender="Female", Language="zh"))
        
    if 1:
        # 读取pdf并提取文本到txt文件，并将其内容转为mp3音频文件。
        page_num = 0
        with pdfplumber.open(pdf_path) as pdf:
            for page in pdf.pages:
                textdata = page.extract_text().replace("\n", "")#提取文字后删除末尾换行，以免转音频卡顿
                page_num += 1
                txt_path = pdf_path.split(".")[0]+"{:03d}".format(page_num)+'.txt'
                if len(textdata)>0:
                    with open(txt_path ,'a',encoding='utf-8') as txt:
                        txt.write(textdata)
                        print('第'+str(page_num)+'页:',textdata)
                        mp3_path = txt_path.split(".")[0]+'.mp3'
                        asyncio.run(txt2mp3(textdata,mp3_path))
                        print('第'+str(page_num)+'个txt文件已转音频:',mp3_path)
        print('Pdf文件共有'+str(page_num)+'页，已转换完成')

It will be done soon, see the picture below. If you want to listen to PDF in the future, just run the above code!
insert image description here

4. Change the announcer

In the above program, modify the following code if the condition is 1, and you can view the available broadcast roles.

    if 1:
        # 查看可用播音角色(性别女性，语言为中文)，男性Gender="Male"
        asyncio.run(get_announcer(Gender="Female", Language="zh"))

After running, the result is a list, formatted by json, as shown below. To change the announcer, just replace the previous announcer value with the Name value. Is not it simple?

[{
    
    
	'Name': 'Microsoft Server Speech Text to Speech Voice (zh-HK, HiuGaaiNeural)',
	'ShortName': 'zh-HK-HiuGaaiNeural',
	'Gender': 'Female',
	'Locale': 'zh-HK',
	'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
	'FriendlyName': 'Microsoft HiuGaai Online (Natural) - Chinese (Cantonese Traditional)',
	'Status': 'GA',
	'VoiceTag': {
    
    
		'ContentCategories': ['General'],
		'VoicePersonalities': ['Friendly', 'Positive']
	},
	'Language': 'zh'
}, {
    
    
	'Name': 'Microsoft Server Speech Text to Speech Voice (zh-HK, HiuMaanNeural)',
	'ShortName': 'zh-HK-HiuMaanNeural',
	'Gender': 'Female',
	'Locale': 'zh-HK',
	'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
	'FriendlyName': 'Microsoft HiuMaan Online (Natural) - Chinese (Hong Kong)',
	'Status': 'GA',
	'VoiceTag': {
    
    
		'ContentCategories': ['General'],
		'VoicePersonalities': ['Friendly', 'Positive']
	},
	'Language': 'zh'
}, {
    
    
	'Name': 'Microsoft Server Speech Text to Speech Voice (zh-CN, XiaoxiaoNeural)',
	'ShortName': 'zh-CN-XiaoxiaoNeural',
	'Gender': 'Female',
	'Locale': 'zh-CN',
	'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
	'FriendlyName': 'Microsoft Xiaoxiao Online (Natural) - Chinese (Mainland)',
	'Status': 'GA',
	'VoiceTag': {
    
    
		'ContentCategories': ['News', 'Novel'],
		'VoicePersonalities': ['Warm']
	},
	'Language': 'zh'
}, {
    
    
	'Name': 'Microsoft Server Speech Text to Speech Voice (zh-CN, XiaoyiNeural)',
	'ShortName': 'zh-CN-XiaoyiNeural',
	'Gender': 'Female',
	'Locale': 'zh-CN',
	'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
	'FriendlyName': 'Microsoft Xiaoyi Online (Natural) - Chinese (Mainland)',
	'Status': 'GA',
	'VoiceTag': {
    
    
		'ContentCategories': ['Cartoon', 'Novel'],
		'VoicePersonalities': ['Lively']
	},
	'Language': 'zh'
}, {
    
    
	'Name': 'Microsoft Server Speech Text to Speech Voice (zh-CN-liaoning, XiaobeiNeural)',
	'ShortName': 'zh-CN-liaoning-XiaobeiNeural',
	'Gender': 'Female',
	'Locale': 'zh-CN-liaoning',
	'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
	'FriendlyName': 'Microsoft Xiaobei Online (Natural) - Chinese (Northeastern Mandarin)',
	'Status': 'GA',
	'VoiceTag': {
    
    
		'ContentCategories': ['Dialect'],
		'VoicePersonalities': ['Humorous']
	},
	'Language': 'zh'
}, {
    
    
	'Name': 'Microsoft Server Speech Text to Speech Voice (zh-TW, HsiaoChenNeural)',
	'ShortName': 'zh-TW-HsiaoChenNeural',
	'Gender': 'Female',
	'Locale': 'zh-TW',
	'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
	'FriendlyName': 'Microsoft HsiaoChen Online (Natural) - Chinese (Taiwan)',
	'Status': 'GA',
	'VoiceTag': {
    
    
		'ContentCategories': ['General'],
		'VoicePersonalities': ['Friendly', 'Positive']
	},
	'Language': 'zh'
}, {
    
    
	'Name': 'Microsoft Server Speech Text to Speech Voice (zh-TW, HsiaoYuNeural)',
	'ShortName': 'zh-TW-HsiaoYuNeural',
	'Gender': 'Female',
	'Locale': 'zh-TW',
	'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
	'FriendlyName': 'Microsoft HsiaoYu Online (Natural) - Chinese (Taiwanese Mandarin)',
	'Status': 'GA',
	'VoiceTag': {
    
    
		'ContentCategories': ['General'],
		'VoicePersonalities': ['Friendly', 'Positive']
	},
	'Language': 'zh'
}, {
    
    
	'Name': 'Microsoft Server Speech Text to Speech Voice (zh-CN-shaanxi, XiaoniNeural)',
	'ShortName': 'zh-CN-shaanxi-XiaoniNeural',
	'Gender': 'Female',
	'Locale': 'zh-CN-shaanxi',
	'SuggestedCodec': 'audio-24khz-48kbitrate-mono-mp3',
	'FriendlyName': 'Microsoft Xiaoni Online (Natural) - Chinese (Zhongyuan Mandarin Shaanxi)',
	'Status': 'GA',
	'VoiceTag': {
    
    
		'ContentCategories': ['Dialect'],
		'VoicePersonalities': ['Bright']
	},
	'Language': 'zh'
}]

Summarize

To view all voice roles, execute the command: >edge-tts --list-voices

(base) C:\Users\Administrator>edge-tts --list-voices
Name: af-ZA-AdriNeural
Gender: Female

Name: af-ZA-WillemNeural
Gender: Male

Name: am-ET-AmehaNeural
Gender: Male

Name: am-ET-MekdesNeural
Gender: Female

Name: ar-AE-FatimaNeural
Gender: Female

Name: ar-AE-HamdanNeural
Gender: Male

Name: ar-BH-AliNeural
Gender: Male

Name: ar-BH-LailaNeural
Gender: Female

Name: ar-DZ-AminaNeural
Gender: Female

Name: ar-DZ-IsmaelNeural
Gender: Male

Name: ar-EG-SalmaNeural
Gender: Female

Name: ar-EG-ShakirNeural
Gender: Male

Name: ar-IQ-BasselNeural
Gender: Male

Name: ar-IQ-RanaNeural
Gender: Female

Name: ar-JO-SanaNeural
Gender: Female

Name: ar-JO-TaimNeural
Gender: Male

Name: ar-KW-FahedNeural
Gender: Male

Name: ar-KW-NouraNeural
Gender: Female

Name: ar-LB-LaylaNeural
Gender: Female

Name: ar-LB-RamiNeural
Gender: Male

Name: ar-LY-ImanNeural
Gender: Female

Name: ar-LY-OmarNeural
Gender: Male

Name: ar-MA-JamalNeural
Gender: Male

Name: ar-MA-MounaNeural
Gender: Female

Name: ar-OM-AbdullahNeural
Gender: Male

Name: ar-OM-AyshaNeural
Gender: Female

Name: ar-QA-AmalNeural
Gender: Female

Name: ar-QA-MoazNeural
Gender: Male

Name: ar-SA-HamedNeural
Gender: Male

Name: ar-SA-ZariyahNeural
Gender: Female

Name: ar-SY-AmanyNeural
Gender: Female

Name: ar-SY-LaithNeural
Gender: Male

Name: ar-TN-HediNeural
Gender: Male

Name: ar-TN-ReemNeural
Gender: Female

Name: ar-YE-MaryamNeural
Gender: Female

Name: ar-YE-SalehNeural
Gender: Male

Name: az-AZ-BabekNeural
Gender: Male

Name: az-AZ-BanuNeural
Gender: Female

Name: bg-BG-BorislavNeural
Gender: Male

Name: bg-BG-KalinaNeural
Gender: Female

Name: bn-BD-NabanitaNeural
Gender: Female

Name: bn-BD-PradeepNeural
Gender: Male

Name: bn-IN-BashkarNeural
Gender: Male

Name: bn-IN-TanishaaNeural
Gender: Female

Name: bs-BA-GoranNeural
Gender: Male

Name: bs-BA-VesnaNeural
Gender: Female

Name: ca-ES-EnricNeural
Gender: Male

Name: ca-ES-JoanaNeural
Gender: Female

Name: cs-CZ-AntoninNeural
Gender: Male

Name: cs-CZ-VlastaNeural
Gender: Female

Name: cy-GB-AledNeural
Gender: Male

Name: cy-GB-NiaNeural
Gender: Female

Name: da-DK-ChristelNeural
Gender: Female

Name: da-DK-JeppeNeural
Gender: Male

Name: de-AT-IngridNeural
Gender: Female

Name: de-AT-JonasNeural
Gender: Male

Name: de-CH-JanNeural
Gender: Male

Name: de-CH-LeniNeural
Gender: Female

Name: de-DE-AmalaNeural
Gender: Female

Name: de-DE-ConradNeural
Gender: Male

Name: de-DE-KatjaNeural
Gender: Female

Name: de-DE-KillianNeural
Gender: Male

Name: el-GR-AthinaNeural
Gender: Female

Name: el-GR-NestorasNeural
Gender: Male

Name: en-AU-NatashaNeural
Gender: Female

Name: en-AU-WilliamNeural
Gender: Male

Name: en-CA-ClaraNeural
Gender: Female

Name: en-CA-LiamNeural
Gender: Male

Name: en-GB-LibbyNeural
Gender: Female

Name: en-GB-MaisieNeural
Gender: Female

Name: en-GB-RyanNeural
Gender: Male

Name: en-GB-SoniaNeural
Gender: Female

Name: en-GB-ThomasNeural
Gender: Male

Name: en-HK-SamNeural
Gender: Male

Name: en-HK-YanNeural
Gender: Female

Name: en-IE-ConnorNeural
Gender: Male

Name: en-IE-EmilyNeural
Gender: Female

Name: en-IN-NeerjaExpressiveNeural
Gender: Female

Name: en-IN-NeerjaNeural
Gender: Female

Name: en-IN-PrabhatNeural
Gender: Male

Name: en-KE-AsiliaNeural
Gender: Female

Name: en-KE-ChilembaNeural
Gender: Male

Name: en-NG-AbeoNeural
Gender: Male

Name: en-NG-EzinneNeural
Gender: Female

Name: en-NZ-MitchellNeural
Gender: Male

Name: en-NZ-MollyNeural
Gender: Female

Name: en-PH-JamesNeural
Gender: Male

Name: en-PH-RosaNeural
Gender: Female

Name: en-SG-LunaNeural
Gender: Female

Name: en-SG-WayneNeural
Gender: Male

Name: en-TZ-ElimuNeural
Gender: Male

Name: en-TZ-ImaniNeural
Gender: Female

Name: en-US-AnaNeural
Gender: Female

Name: en-US-AriaNeural
Gender: Female

Name: en-US-ChristopherNeural
Gender: Male

Name: en-US-EricNeural
Gender: Male

Name: en-US-GuyNeural
Gender: Male

Name: en-US-JennyNeural
Gender: Female

Name: en-US-MichelleNeural
Gender: Female

Name: en-US-RogerNeural
Gender: Male

Name: en-US-SteffanNeural
Gender: Male

Name: en-ZA-LeahNeural
Gender: Female

Name: en-ZA-LukeNeural
Gender: Male

Name: es-AR-ElenaNeural
Gender: Female

Name: es-AR-TomasNeural
Gender: Male

Name: es-BO-MarceloNeural
Gender: Male

Name: es-BO-SofiaNeural
Gender: Female

Name: es-CL-CatalinaNeural
Gender: Female

Name: es-CL-LorenzoNeural
Gender: Male

Name: es-CO-GonzaloNeural
Gender: Male

Name: es-CO-SalomeNeural
Gender: Female

Name: es-CR-JuanNeural
Gender: Male

Name: es-CR-MariaNeural
Gender: Female

Name: es-CU-BelkysNeural
Gender: Female

Name: es-CU-ManuelNeural
Gender: Male

Name: es-DO-EmilioNeural
Gender: Male

Name: es-DO-RamonaNeural
Gender: Female

Name: es-EC-AndreaNeural
Gender: Female

Name: es-EC-LuisNeural
Gender: Male

Name: es-ES-AlvaroNeural
Gender: Male

Name: es-ES-ElviraNeural
Gender: Female

Name: es-GQ-JavierNeural
Gender: Male

Name: es-GQ-TeresaNeural
Gender: Female

Name: es-GT-AndresNeural
Gender: Male

Name: es-GT-MartaNeural
Gender: Female

Name: es-HN-CarlosNeural
Gender: Male

Name: es-HN-KarlaNeural
Gender: Female

Name: es-MX-DaliaNeural
Gender: Female

Name: es-MX-JorgeNeural
Gender: Male

Name: es-NI-FedericoNeural
Gender: Male

Name: es-NI-YolandaNeural
Gender: Female

Name: es-PA-MargaritaNeural
Gender: Female

Name: es-PA-RobertoNeural
Gender: Male

Name: es-PE-AlexNeural
Gender: Male

Name: es-PE-CamilaNeural
Gender: Female

Name: es-PR-KarinaNeural
Gender: Female

Name: es-PR-VictorNeural
Gender: Male

Name: es-PY-MarioNeural
Gender: Male

Name: es-PY-TaniaNeural
Gender: Female

Name: es-SV-LorenaNeural
Gender: Female

Name: es-SV-RodrigoNeural
Gender: Male

Name: es-US-AlonsoNeural
Gender: Male

Name: es-US-PalomaNeural
Gender: Female

Name: es-UY-MateoNeural
Gender: Male

Name: es-UY-ValentinaNeural
Gender: Female

Name: es-VE-PaolaNeural
Gender: Female

Name: es-VE-SebastianNeural
Gender: Male

Name: et-EE-AnuNeural
Gender: Female

Name: et-EE-KertNeural
Gender: Male

Name: fa-IR-DilaraNeural
Gender: Female

Name: fa-IR-FaridNeural
Gender: Male

Name: fi-FI-HarriNeural
Gender: Male

Name: fi-FI-NooraNeural
Gender: Female

Name: fil-PH-AngeloNeural
Gender: Male

Name: fil-PH-BlessicaNeural
Gender: Female

Name: fr-BE-CharlineNeural
Gender: Female

Name: fr-BE-GerardNeural
Gender: Male

Name: fr-CA-AntoineNeural
Gender: Male

Name: fr-CA-JeanNeural
Gender: Male

Name: fr-CA-SylvieNeural
Gender: Female

Name: fr-CH-ArianeNeural
Gender: Female

Name: fr-CH-FabriceNeural
Gender: Male

Name: fr-FR-DeniseNeural
Gender: Female

Name: fr-FR-EloiseNeural
Gender: Female

Name: fr-FR-HenriNeural
Gender: Male

Name: ga-IE-ColmNeural
Gender: Male

Name: ga-IE-OrlaNeural
Gender: Female

Name: gl-ES-RoiNeural
Gender: Male

Name: gl-ES-SabelaNeural
Gender: Female

Name: gu-IN-DhwaniNeural
Gender: Female

Name: gu-IN-NiranjanNeural
Gender: Male

Name: he-IL-AvriNeural
Gender: Male

Name: he-IL-HilaNeural
Gender: Female

Name: hi-IN-MadhurNeural
Gender: Male

Name: hi-IN-SwaraNeural
Gender: Female

Name: hr-HR-GabrijelaNeural
Gender: Female

Name: hr-HR-SreckoNeural
Gender: Male

Name: hu-HU-NoemiNeural
Gender: Female

Name: hu-HU-TamasNeural
Gender: Male

Name: id-ID-ArdiNeural
Gender: Male

Name: id-ID-GadisNeural
Gender: Female

Name: is-IS-GudrunNeural
Gender: Female

Name: is-IS-GunnarNeural
Gender: Male

Name: it-IT-DiegoNeural
Gender: Male

Name: it-IT-ElsaNeural
Gender: Female

Name: it-IT-IsabellaNeural
Gender: Female

Name: ja-JP-KeitaNeural
Gender: Male

Name: ja-JP-NanamiNeural
Gender: Female

Name: jv-ID-DimasNeural
Gender: Male

Name: jv-ID-SitiNeural
Gender: Female

Name: ka-GE-EkaNeural
Gender: Female

Name: ka-GE-GiorgiNeural
Gender: Male

Name: kk-KZ-AigulNeural
Gender: Female

Name: kk-KZ-DauletNeural
Gender: Male

Name: km-KH-PisethNeural
Gender: Male

Name: km-KH-SreymomNeural
Gender: Female

Name: kn-IN-GaganNeural
Gender: Male

Name: kn-IN-SapnaNeural
Gender: Female

Name: ko-KR-InJoonNeural
Gender: Male

Name: ko-KR-SunHiNeural
Gender: Female

Name: lo-LA-ChanthavongNeural
Gender: Male

Name: lo-LA-KeomanyNeural
Gender: Female

Name: lt-LT-LeonasNeural
Gender: Male

Name: lt-LT-OnaNeural
Gender: Female

Name: lv-LV-EveritaNeural
Gender: Female

Name: lv-LV-NilsNeural
Gender: Male

Name: mk-MK-AleksandarNeural
Gender: Male

Name: mk-MK-MarijaNeural
Gender: Female

Name: ml-IN-MidhunNeural
Gender: Male

Name: ml-IN-SobhanaNeural
Gender: Female

Name: mn-MN-BataaNeural
Gender: Male

Name: mn-MN-YesuiNeural
Gender: Female

Name: mr-IN-AarohiNeural
Gender: Female

Name: mr-IN-ManoharNeural
Gender: Male

Name: ms-MY-OsmanNeural
Gender: Male

Name: ms-MY-YasminNeural
Gender: Female

Name: mt-MT-GraceNeural
Gender: Female

Name: mt-MT-JosephNeural
Gender: Male

Name: my-MM-NilarNeural
Gender: Female

Name: my-MM-ThihaNeural
Gender: Male

Name: nb-NO-FinnNeural
Gender: Male

Name: nb-NO-PernilleNeural
Gender: Female

Name: ne-NP-HemkalaNeural
Gender: Female

Name: ne-NP-SagarNeural
Gender: Male

Name: nl-BE-ArnaudNeural
Gender: Male

Name: nl-BE-DenaNeural
Gender: Female

Name: nl-NL-ColetteNeural
Gender: Female

Name: nl-NL-FennaNeural
Gender: Female

Name: nl-NL-MaartenNeural
Gender: Male

Name: pl-PL-MarekNeural
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Name: ta-LK-SaranyaNeural
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Name: zh-HK-HiuMaanNeural
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Name: zh-HK-WanLungNeural
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Name: zh-TW-HsiaoChenNeural
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Name: zh-TW-HsiaoYuNeural
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