Datasets:
audio
audioduration (s) 3.74
10.1
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stringlengths 7
78
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stringlengths 26
78
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Afterall the kid is too young to go to school.
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Afterall the kid is too young to go to school.
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I don't like to show off myself.
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I don't like to show off myself.
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Beijing is famous for its long history and rich culture.
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Beijing is famous for its long history and rich culture.
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There is much to do here for example you can help clean up the city park.
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There is much to do here for example you can help clean up the city park.
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We have to deal with all kinds of problems in our daily life.
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We have to deal with all kinds of problems in our daily life.
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I lend him a camera in order that he can take some good photos.
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I lend him a camera in order that he can take some good photos.
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From then on I didn't show my pictures to him anymore.
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From then on I didn't show my pictures to him anymore.
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I takes me an hour to go to school by bus every day.
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I takes me an hour to go to school by bus every day.
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Would you like to work by night or by day?
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Would you like to work by night or by day?
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Where there is a will there is a way.
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Where there is a will there is a way.
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I like looking through English newspapers.
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I like looking through English newspapers.
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From now on I not only study harder but also try my best to get better grades.
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From now on I not only study harder but also try my best to get better grades.
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It's necessary to do some cleaning every day.
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It's necessary to do some cleaning every day.
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In a word it's very important for us to protect the environment.
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In a word it's very important for us to protect the environment.
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Come on let's go shopping.
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Come on let's go shopping.
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Our class is made up of 40 students.
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Our class is made up of 40 students.
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All things are difficult before they are easy.
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All things are difficult before they are easy.
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这是什么面料？
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zhe4 shi4 shen2 me5 mian4 liao4?
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你还在当快递员吗？
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ni3 hai2 zai4 dang1 kuai4 di4 yuan2 ma5?
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我知道有个地方，那里房租更便宜。
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wo3 zhi1 dao4 you3 ge4 di4 fang1, na4 li3 fang2 zu1 geng4 pian2 yi2.
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你的这件衬衫真好看。
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ni3 de5 zhe4 jian4 chen4 shan1 zhen1 hao3 kan4.
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你有多久没回家了？
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ni3 you3 duo1 jiu3 mei2 hui2 jia1 le5?
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骑共享单车上班挺方便的。
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qi2 gong4 xiang3 dan1 che1 shang4 ban1 ting3 fang1 bian4 de5.
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你看上去状态不错。
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ni3 kan4 shang4 qu4 zhuang4 tai4 bu2 cuo4.
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周末我们通常去公园散步。
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zhou1 mo4 wo3 men5 tong1 chang2 qu4 gong1 yuan2 san4 bu4.
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饺子是北方最有名的传统食物。
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jiao3 zi5 shi4 bei3 fang1 zui4 you3 ming2 de5 chuan2 tong3 shi2 wu4.
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去朋友家做客应该带礼物。
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qu4 peng2 you3 jia1 zuo4 ke4 ying1 gai1 dai4 li3 wu4.
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搬重物时要注意保护腰部。
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ban1 zhong4 wu4 shi2 yao4 zhu4 yi4 bao3 hu4 yao1 bu4.
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踢足球时我的腿受伤了。
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ti1 zu2 qiu2 shi2 wo3 de5 tui3 shou4 shang1 le5.
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经理问的问题让我很难回答。
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jing1 li3 wen4 de5 wen4 ti2 rang4 wo3 hen3 nan2 hui2 da2.
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其实中文发音并不容易学。
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qi2 shi2 zhong1 wen2 fa1 yin1 bing4 bu4 rong2 yi4 xue2.
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啊，你的发型真漂亮！
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a1, ni3 de5 fa4 xing2 zhen1 piao4 liang4!
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我们需要先了解游戏规则。
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wo3 men5 xu1 yao4 xian1 liao3 jie3 you2 xi4 gui1 ze2.
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现代人习惯使用手机地图应用。
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xian4 dai4 ren2 xi2 guan4 shi3 yong4 shou3 ji1 di4 tu2 ying4 yong4.
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Bilingual Common Sentence Dataset for TTS
Dataset Description
This dataset is a bilingual dataset consisting of commonly used sentences in Chinese and English, designed for Text-to-Speech (TTS) research and learning purposes. It contains short, sentence-level audio recordings of everyday sentences spoken by a single speaker in a quiet environment. Each audio file is provided in WAV format and is paired with its corresponding transcription in the metadata file. For Chinese sentences, phonetic transcriptions in pinyin are also included. The dataset is intended for educational use, especially for understanding how common sentences are prepared and structured for TTS systems.
Reflection: Issues Encountered and Solutions
One challenge encountered during dataset preparation was maintaining consistent pronunciation when switching between Chinese and English common sentences. To address this issue, all recordings were completed in a single session, and unclear sentences were re-recorded when necessary. Another difficulty was segmenting long recordings into sentence-level audio clips while ensuring accurate alignment between audio and text. This was resolved by carefully reviewing each WAV file and cross-checking it with the metadata. These steps helped ensure the dataset is clean and suitable for TTS applications.
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