Container 是類似 docker 這樣建構在某個 OS 的虛擬機器，VM 是類似 Hypervisor VMWare 建立的虛擬機器。
優點：
從硬體開始就虛擬化，機器獨立
可在不同 VM 安裝不同的 OS
不同應用程式內的相關套件耦合，不會互相影響
適合比較大型，需要很多不同的整合服務的應用
缺點：
耗用的硬碟空間較多，使用的硬體資源比較高
啟動服務需要比較長的時間
優點：
檔案比較小
啟動速度快
耗用系統資源比較少
容易更新
通常以應用程式為單位
缺點：
主要依賴 Host OS的操作，無法同時安裝不同的 OS
container 之間的元件部署比較複雜
因為 Open Street Map 的免費公用特性，所以我們可以複製這些地圖資料到自己的地圖 server，Switch2OSM 是一個推廣 OSM 的專案，我們可以透過這個專案，建置自己的 Map Server
PBF 就是 Protocolbuffer Binary Format 這是基於 ProtoBuffer 的一種 binary data format，這是一種比 XML, GeoJSON 等等地圖格式還要精簡的檔案格式。
在 OSM 通常是以 *.osm.pbf 這個 file extension 代表 OSM PBF file
Open Street Map 在 PBF Format - OpenStreetMap Wiki 有說明該檔案格式的定義。
Geofabrik Download Server Taiwan 這個網站，有固定更新從 Open Street Map 下載的 Taiwan 離線地圖，我們可以到這個網站下載 taiwan-latest.osm.pbf
取得 osm PBF 檔案以後，就可以匯入 switch2osm local map server
參考 Using a Docker container – Switch2OSM 的說明，最簡單的方式就是透過 container 建置 switch2osm
以下以 Redhat 系列的 podman 進行測試
匯入 osm.pbf 檔案
podman volume create osm-data
podman run --name osmtile-import -v /root/download/osm/taiwan-latest.osm.pbf:/data/region.osm.pbf -v osm-data:/data/database/ overv/openstreetmap-tile-server importtile server
podman volume create osm-tiles
# 啟動 tile server
podman run --name osmtile -p 8081:80 -v osm-data:/data/database/ -v osm-tiles:/data/tiles -d overv/openstreetmap-tile-server run啟動後就可以在 http://localhost:8081/tile/ 看到透過 Leaflet 取得的 OSM 地圖
WhisperSpeech是一種反轉Whisper技術，實做的TTS系統。
在 Rocky Linux 8 的 Python 3.11 安裝測試
dnf install python3.11
# 在執行測試時，會需要 python.h，故需要安裝 devel 套件
dnf install python3.11-devel
python3 -m venv /root/venv/whisperspeech
source /root/venv/whisperspeech/bin/activate
pip3 install WhisperSpeech
pip3 install webdataset測試程式
import torch
import torch.nn.functional as F
from whisperspeech.pipeline import Pipeline
pipe = Pipeline(s2a_ref='collabora/whisperspeech:s2a-q4-tiny-en+pl.model', torch_compile=True)
pipe.generate_to_file("output.wav", "Hello from WhisperSpeech.")以 time 測試執行時間
time python3 test.py
real 0m38.452s
user 2m19.176s
sys 0m1.683s真實時間大約花了 40s，這邊是用 Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz 的機器，沒有用到 GPU
這個網站可以聽到 WhisperSpeech 產生的語音結果
WhisperSpeech - New Text-To-Speech Model In Town
在一個 Spring Boot 3 project 同時連接到兩個 database，需要用兩個設定檔指定兩個 datasource，分別設定不同的 entityManager, transactonManager, jdbcTemplate。
application.yml
spring:
application:
name: project
jpa:
properties:
hibernate:
# dialect: org.hibernate.dialect.MySQLDialect
dialect: org.hibernate.community.dialect.MySQLLegacyDialect
project:
kokods:
url: jdbc:mariadb://localhost:3306/koko
username: root
password: password
schema: koko
type: com.zaxxer.hikari.HikariDataSource
hikari:
connection-timeout: 30000 # milliseconds that a client will wait for a new connection from the pool 30 seconds
minimum-idle: 1 # minimum number of idle connections
maximum-pool-size: 100 # maximum number of connections
idle-timeout: 600000 # maximum amount of time that a connection may sit idle in the pool of connections 10 mins
max-lifetime: 1800000 # a connection can be pooled for before being destroyed 30 mins
auto-commit: true
connection-test-query: SELECT CURRENT_TIMESTAMP
db2ds:
url: jdbc:mariadb://localhost:3306/db2
username: root
password: password
schema: db2
type: com.zaxxer.hikari.HikariDataSource
hikari:
connection-timeout: 30000 # milliseconds that a client will wait for a new connection from the pool 30 seconds
minimum-idle: 1 # minimum number of idle connections
maximum-pool-size: 100 # maximum number of connections
idle-timeout: 600000 # maximum amount of time that a connection may sit idle in the pool of connections 10 mins
max-lifetime: 1800000 # a connection can be pooled for before being destroyed 30 mins
auto-commit: true
connection-test-query: SELECT CURRENT_TIMESTAMP
logging:
level:
com.zaxxer.hikari: TRACE
com.zaxxer.hikari.HikariConfig: DEBUG@Configuration設定
KoKoConfig.java
package tw.com.maxkit.koko.config;
import com.zaxxer.hikari.HikariDataSource;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.autoconfigure.jdbc.DataSourceProperties;
import org.springframework.boot.orm.jpa.EntityManagerFactoryBuilder;
import org.springframework.context.annotation.*;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.boot.jdbc.DataSourceBuilder;
import org.springframework.core.env.Environment;
import org.springframework.data.jpa.repository.config.EnableJpaRepositories;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.orm.jpa.JpaTransactionManager;
import org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean;
import org.springframework.transaction.PlatformTransactionManager;
import org.springframework.transaction.annotation.EnableTransactionManagement;
import javax.sql.DataSource;
@Configuration
//@PropertySource({"classpath:persistence-multiple-db.properties"})
@EnableJpaRepositories(
basePackages = "tw.com.maxkit.koko.dao.jpa",
entityManagerFactoryRef = "kokoEntityManagerFactory",
transactionManagerRef = "kokoTransactionManager"
)
@EnableTransactionManagement
public class KoKoConfig {
@Autowired
private Environment env;
@Primary
@Bean("kokoDataSourceProperties")
@ConfigurationProperties("project.kokods")
public DataSourceProperties kokoDataSourceProperties() {
return new DataSourceProperties();
}
@Primary
@Bean("kokoDataSource")
@Qualifier(value="kokoDataSourceProperties")
@ConfigurationProperties(prefix = "project.kokods.hikari")
public HikariDataSource kokoDataSource() {
return kokoDataSourceProperties().initializeDataSourceBuilder().type(HikariDataSource.class).build();
}
// 如果不修改 Hikari 的參數，可直接使用這個 datasource，但要注意設定檔 url 要改為 jdbc-url
// @Bean("lartelDataSource")
// @ConfigurationProperties("lartel.kokods")
// public DataSource lartelDataSource() {
// return DataSourceBuilder.create().build();
// }
@Primary
@Bean("kokoEntityManagerFactory")
public LocalContainerEntityManagerFactoryBean kokoEntityManagerFactory(
@Qualifier("kokoDataSource") DataSource kokoDataSource,
EntityManagerFactoryBuilder builder) {
return builder //
.dataSource(kokoDataSource) //
.packages("tw.com.maxkit.koko.data.entity") //
.persistenceUnit("kokoDs") //
.build();
}
@Primary
@Bean("kokoTransactionManager")
public PlatformTransactionManager kokoTransactionManager(
@Qualifier("kokoEntityManagerFactory") LocalContainerEntityManagerFactoryBean kokoEntityManagerFactory) {
return new JpaTransactionManager(kokoEntityManagerFactory.getObject());
}
@Primary
@Bean("kokoJdbcTemplate")
public JdbcTemplate kokoJdbcTemplate(
@Qualifier("kokoDataSource") DataSource kokoDataSource) {
return new JdbcTemplate(kokoDataSource);
}
}Db2Config.java
package tw.com.maxkit.db2.config;
import com.zaxxer.hikari.HikariDataSource;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.autoconfigure.jdbc.DataSourceProperties;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.boot.jdbc.DataSourceBuilder;
import org.springframework.boot.orm.jpa.EntityManagerFactoryBuilder;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.core.env.Environment;
import org.springframework.data.jpa.repository.config.EnableJpaRepositories;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.orm.jpa.JpaTransactionManager;
import org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean;
import org.springframework.transaction.PlatformTransactionManager;
import org.springframework.transaction.annotation.EnableTransactionManagement;
import javax.sql.DataSource;
@Configuration
@EnableJpaRepositories(
basePackages = "tw.com.maxkit.db2.dao.jpa",
entityManagerFactoryRef = "lartelEntityManagerFactory",
transactionManagerRef = "lartelTransactionManager"
)
@EnableTransactionManagement
public class LartelConfig {
@Autowired
private Environment env;
// 這兩個 method 會套用修改 Hikari 的參數
@Bean("db2DataSourceProperties")
@ConfigurationProperties("project.db2ds")
public DataSourceProperties db2DataSourceProperties() {
return new DataSourceProperties();
}
@Bean("db2DataSource")
@Qualifier(value="db2DataSourceProperties")
@ConfigurationProperties(prefix = "project.db2ds.hikari")
public HikariDataSource db2DataSource() {
return db2DataSourceProperties().initializeDataSourceBuilder().type(HikariDataSource.class).build();
}
// 如果不修改 Hikari 的參數，可直接使用這個 datasource，但要注意設定檔 url 要改為 jdbc-url
// @Bean("lartelDataSource")
// @ConfigurationProperties("lartel.lartelds")
// public DataSource lartelDataSource() {
// return DataSourceBuilder.create().build();
// }
@Bean("db2EntityManagerFactory")
public LocalContainerEntityManagerFactoryBean db2EntityManagerFactory(
@Qualifier("db2DataSource") DataSource db2DataSource,
EntityManagerFactoryBuilder builder) {
return builder //
.dataSource(db2DataSource) //
.packages("tw.com.maxkit.db2.data.entity") //
.persistenceUnit("db2Ds") //
.build();
}
@Bean("db2TransactionManager")
public PlatformTransactionManager db2TransactionManager(
@Qualifier("db2EntityManagerFactory") LocalContainerEntityManagerFactoryBean lartelEntityManagerFactory) {
return new JpaTransactionManager(db2EntityManagerFactory.getObject());
}
@Bean("db2JdbcTemplate")
public JdbcTemplate db2JdbcTemplate(
@Qualifier("db2DataSource") DataSource db2DataSource) {
return new JdbcTemplate(db2DataSource);
}
}第一個 datasource 部分的 DAO，另一個是類似的作法
package tw.com.maxkit.koko.dao.jpa;
import org.springframework.data.jpa.repository.JpaRepository;
import org.springframework.stereotype.Repository;
import tw.com.maxkit.koko.data.entity.Uservo;
import java.util.List;
@Repository
public interface UservoDAO extends JpaRepository<Uservo, Long> {
public List<Uservo> queryAll();
}DAO 的 implementation
package tw.com.maxkit.koko.dao.jpa;
import jakarta.persistence.EntityManager;
import jakarta.persistence.TypedQuery;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.jpa.repository.JpaContext;
import org.springframework.stereotype.Component;
import tw.com.maxkit.koko.data.entity.Uservo;
import java.util.List;
@Component
public class UservoDAOImpl {
private final EntityManager em;
@Autowired
public UservoDAOImpl(JpaContext context) {
this.em = context.getEntityManagerByManagedType(Uservo.class);
}
public List queryAll() {
String jpql = "SELECT u FROM Uservo u";
TypedQuery query = this.em.createQuery(jpql, Uservo.class);
return query.getResultList();
}
}Service
package tw.com.maxkit.koko.service;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
import tw.com.maxkit.koko.dao.jpa.UservoDAO;
import tw.com.maxkit.koko.data.entity.Uservo;
@Service
public class UservoService {
@Autowired
private UservoDAO uservoDAO;
public void findAll() {
System.out.println("\n使用 Spring Data JPA 衍生方法查詢 uservo 的資料:");
// this.uservoRepository.findAll().forEach(System.out::println);
this.uservoDAO.findAll().forEach(
uservo -> System.out.println("uservoseq="+uservo.getUservoseq()+", userid="+uservo.getUserid())
);
}
@Transactional("kokoTransactionManager")
public Uservo testTransactional(String userid, String username) {
// 刪除全部
// this.uservoRepository.deleteAll();
// 寫入一筆
Uservo a = new Uservo();
a.setUserid(userid);
a.setUsername(username);
a = this.uservoDAO.save(a);
// 故意埋入 RuntimeException: ArrayIndexOutOfBoundsException
System.out.println(new String[] {}[1]);
return a;
}
public void queryAll() {
System.out.println("\n使用 queryAll 查詢 uservo 的資料:");
// this.uservoRepository.findAll().forEach(System.out::println);
this.uservoDAO.queryAll().forEach(
uservo -> System.out.println("uservoseq="+uservo.getUservoseq()+", userid="+uservo.getUserid())
);
}
}How To Install espeak-ng on CentOS 8 | Installati.one
How to install eSpeak on CentOS 8 / Ubuntu 20.04 / 18.04? - Linux Windows and android Tutorials
eSpeak NG (Next Generation) Text-to-Speech 是 open source speech synthesizer。使用了共振峰合成方法，用比較小的程式提供多種語言的合成方法。
1995年 Jonathan Duddington 提出在 RISC OS 運作，支援 British English 的語音合成器，後來在 2006/2/17，speak 1.05 以 GPLv2 released。目前已重新命名為 eSpeak
2010/6/25 Reece Dunn 在 github 以 1.43.46 版發起 eSpeak 的 fork，致力於讓 eSpeak 運作在其他 POSIX plarforms。到了 2015/12/11 epeak-ng 啟動，支援更多語言，且做了更多 bug fix。
# espeak-ng --help
eSpeak NG text-to-speech: 1.49.2 Data at: /usr/share/espeak-ng-data
espeak-ng [options] ["<words>"]
-f <text file> Text file to speak
--stdin Read text input from stdin instead of a file
If neither -f nor --stdin, then <words> are spoken, or if none then text
is spoken from stdin, each line separately.
-a <integer>
Amplitude, 0 to 200, default is 100
-d <device>
Use the specified device to speak the audio on. If not specified, the
default audio device is used.
-g <integer>
Word gap. Pause between words, units of 10mS at the default speed
-k <integer>
Indicate capital letters with: 1=sound, 2=the word "capitals",
higher values indicate a pitch increase (try -k20).
-l <integer>
Line length. If not zero (which is the default), consider
lines less than this length as end-of-clause
-p <integer>
Pitch adjustment, 0 to 99, default is 50
-s <integer>
Speed in approximate words per minute. The default is 175
-v <voice name>
Use voice file of this name from espeak-ng-data/voices
-w <wave file name>
Write speech to this WAV file, rather than speaking it directly
-b Input text encoding, 1=UTF8, 2=8 bit, 4=16 bit
-m Interpret SSML markup, and ignore other < > tags
-q Quiet, don't produce any speech (may be useful with -x)
-x Write phoneme mnemonics to stdout
-X Write phonemes mnemonics and translation trace to stdout
-z No final sentence pause at the end of the text
--compile=<voice name>
Compile pronunciation rules and dictionary from the current
directory. <voice name> specifies the language
--compile-debug=<voice name>
Compile pronunciation rules and dictionary from the current
directory, including line numbers for use with -X.
<voice name> specifies the language
--compile-mbrola=<voice name>
Compile an MBROLA voice
--compile-intonations
Compile the intonation data
--compile-phonemes=<phsource-dir>
Compile the phoneme data using <phsource-dir> or the default phsource directory
--ipa Write phonemes to stdout using International Phonetic Alphabet
--path="<path>"
Specifies the directory containing the espeak-ng-data directory
--pho Write mbrola phoneme data (.pho) to stdout or to the file in --phonout
--phonout="<filename>"
Write phoneme output from -x -X --ipa and --pho to this file
--punct="<characters>"
Speak the names of punctuation characters during speaking. If
=<characters> is omitted, all punctuation is spoken.
--sep=<character>
Separate phonemes (from -x --ipa) with <character>.
Default is space, z means ZWJN character.
--split=<minutes>
Starts a new WAV file every <minutes>. Used with -w
--stdout Write speech output to stdout
--tie=<character>
Use a tie character within multi-letter phoneme names.
Default is U+361, z means ZWJ character.
--version Shows version number and date, and location of espeak-ng-data
--voices=<language>
List the available voices for the specified language.
If <language> is omitted, then list all voices.
-h, --help Show this help.# espeak-ng --voices
Pty Language Age/Gender VoiceName File Other Languages
5 af --/M Afrikaans gmw/af
5 am --/M Amharic sem/am
5 an --/M Aragonese roa/an
5 ar --/M Arabic sem/ar
5 as --/M Assamese inc/as
5 az --/M Azerbaijani trk/az
5 bg --/M Bulgarian zls/bg
5 bn --/M Bengali inc/bn
5 bpy --/M Bishnupriya_Manipuri inc/bpy
5 bs --/M Bosnian zls/bs
5 ca --/M Catalan roa/ca
5 cmn --/M Chinese_(Mandarin) sit/cmn (zh-cmn 5)(zh 5)
5 cs --/M Czech zlw/cs
5 cy --/M Welsh cel/cy
5 da --/M Danish gmq/da
5 de --/M German gmw/de
5 el --/M Greek grk/el
5 en-029 --/M English_(Caribbean) gmw/en-029 (en 10)
2 en-gb --/M English_(Great_Britain) gmw/en (en 2)
5 en-gb-scotland --/M English_(Scotland) gmw/en-GB-scotland (en 4)
5 en-gb-x-gbclan --/M English_(Lancaster) gmw/en-GB-x-gbclan (en-gb 3)(en 5)
5 en-gb-x-gbcwmd --/M English_(West_Midlands) gmw/en-GB-x-gbcwmd (en-gb 9)(en 9)
5 en-gb-x-rp --/M English_(Received_Pronunciation) gmw/en-GB-x-rp (en-gb 4)(en 5)
2 en-us --/M English_(America) gmw/en-US (en 3)
5 eo --/M Esperanto art/eo
5 es --/M Spanish_(Spain) roa/es
5 es-419 --/M Spanish_(Latin_America) roa/es-419 (es-mx 6)(es 6)
5 et --/M Estonian urj/et
5 eu --/M Basque eu
5 fa --/M Persian ira/fa
5 fa-Latn --/M Persian_(Pinglish) ira/fa-Latn
5 fi --/M Finnish urj/fi
5 fr-be --/M French_(Belgium) roa/fr-BE (fr 8)
5 fr-ch --/M French_(Switzerland) roa/fr-CH (fr 8)
5 fr-fr --/M French_(France) roa/fr (fr 5)
5 ga --/M Gaelic_(Irish) cel/ga
5 gd --/M Gaelic_(Scottish) cel/gd
5 gn --/M Guarani sai/gn
5 grc --/M Greek_(Ancient) grk/grc
5 gu --/M Gujarati inc/gu
5 hi --/M Hindi inc/hi
5 hr --/M Croatian zls/hr (hbs 5)
5 hu --/M Hungarian urj/hu
5 hy --/M Armenian_(East_Armenia) ine/hy (hy-arevela 5)
5 hy-arevmda --/M Armenian_(West_Armenia) ine/hy-arevmda (hy 8)
5 ia --/M Interlingua art/ia
5 id --/M Indonesian poz/id
5 is --/M Icelandic gmq/is
5 it --/M Italian roa/it
5 ja --/M Japanese jpx/ja
5 jbo --/M Lojban art/jbo
5 ka --/M Georgian ccs/ka
5 kl --/M Greenlandic esx/kl
5 kn --/M Kannada dra/kn
5 ko --/M Korean ko
5 kok --/M Konkani inc/kok
5 ku --/M Kurdish ira/ku
5 ky --/M Kyrgyz trk/ky
5 la --/M Latin itc/la
5 lfn --/M Lingua_Franca_Nova art/lfn
5 lt --/M Lithuanian bat/lt
5 lv --/M Latvian bat/lv
5 mi --/M poz/mi poz/mi
5 mk --/M Macedonian zls/mk
5 ml --/M Malayalam dra/ml
5 mr --/M Marathi inc/mr
5 ms --/M Malay poz/ms
5 mt --/M Maltese sem/mt
5 my --/M Burmese sit/my
5 nb --/M Norwegian_Bokmål gmq/nb (no 5)
5 nci --/M Nahuatl_(Classical) azc/nci
5 ne --/M Nepali inc/ne
5 nl --/M Dutch gmw/nl
5 om --/M Oromo cus/om
5 or --/M Oriya inc/or
5 pa --/M Punjabi inc/pa
5 pap --/M Papiamento roa/pap
5 pl --/M Polish zlw/pl
5 pt --/M Portuguese_(Portugal) roa/pt (pt-pt 5)
5 pt-br --/M Portuguese_(Brazil) roa/pt-BR (pt 6)
5 ro --/M Romanian roa/ro
5 ru --/M Russian zle/ru
5 sd --/M Sindhi inc/sd
5 si --/M Sinhala inc/si
5 sk --/M Slovak zlw/sk
5 sl --/M Slovenian zls/sl
5 sq --/M Albanian ine/sq
5 sr --/M Serbian zls/sr
5 sv --/M Swedish gmq/sv
5 sw --/M Swahili bnt/sw
5 ta --/M Tamil dra/ta
5 te --/M Telugu dra/te
5 tn --/M Setswana bnt/tn
5 tr --/M Turkish trk/tr
5 tt --/M Tatar trk/tt
5 ur --/M Urdu inc/ur
5 vi --/M Vietnamese_(Northern) aav/vi
5 vi-vn-x-central --/M Vietnamese_(Central) aav/vi-VN-x-central
5 vi-vn-x-south --/M Vietnamese_(Southern) aav/vi-VN-x-south
5 yue --/M Chinese_(Cantonese) sit/yue (zh-yue 5)(zh 8)espeak-ng-data 的路徑
ls /usr/share/espeak-ng-data
af_dict ca_dict eu_dict hu_dict kl_dict lv_dict ne_dict phontab sr_dict voices
am_dict cs_dict fa_dict hy_dict kn_dict mbrola_ph nl_dict pl_dict sv_dict zh_dict
an_dict cy_dict fi_dict ia_dict ko_dict mi_dict no_dict pt_dict sw_dict zhy_dict
ar_dict da_dict fr_dict id_dict kok_dict mk_dict om_dict ro_dict ta_dict
as_dict de_dict ga_dict intonations ku_dict ml_dict or_dict ru_dict te_dict
az_dict el_dict gd_dict is_dict ky_dict mr_dict pa_dict sd_dict tn_dict
bg_dict en_dict grc_dict it_dict la_dict ms_dict pap_dict si_dict tr_dict
bn_dict eo_dict gu_dict ja_dict lang mt_dict phondata sk_dict tt_dict
bpy_dict es_dict hi_dict jbo_dict lfn_dict my_dict phondata-manifest sl_dict ur_dict
bs_dict et_dict hr_dict ka_dict lt_dict nci_dict phonindex sq_dict vi_dict從已編譯的 espeak-ng 版本是 1.49.2 版，但安裝後發現該版本不支援中文
# rpm -qa|grep espeak
espeak-ng-1.49.2-4.el8.x86_64到 github 下載 1.52 版
wget https://github.com/espeak-ng/espeak-ng/archive/refs/tags/1.52.0.tar.gz直接編譯
ref: questions about mandarin data packet · Issue #1044 · espeak-ng/espeak-ng · GitHub
./autogen.sh
./configure --with-extdict-cmn這邊最後要看到
Extended Dictionaries:
Russian: yes
Chinese (Mandarin): yes
Chinese (Cantonese): yes編譯
make
make install測試
espeak-ng -v cmn "english text 你好 more english text" -w test1.wav