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歡迎嚟到我嘅第一個語音數據集。
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fun1 jing4 lai4 dou3 ngo5 ge3 dai6 jat1 go3 jyu5 jam1 sou3 geoi6 zaap6.
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今日天氣真係唔錯好適合去行山。
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gam1 jat6 tin1 hei3 zan1 hai6 m4 co3 hou2 sik1 hap6 heoi3 hang4 saan1.
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你食咗飯未呀？不如一齊去茶餐廳吖。
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nei5 sik6 zo2 faan6 mei6 aa3? bat1 jyu4 jat1 cai4 heoi3 caa4 caan1 teng1 aa1.
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我最鍾意飲凍檸茶少甜。
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ngo5 zeoi3 zung1 ji3 jam2 dung3 ning4 caa4 siu2 tim4.
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唔該我想叫一個沙爹牛肉麵。
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m4 goi1 ngo5 soeng2 giu3 jat1 go3 saa1 de1 ngau4 juk6 min6.
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香港嘅夜景真係世界聞名。
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hoeng1 gong2 ge3 je6 ging2 zan1 hai6 sai3 gaai3 man4 ming4.
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坐天星小輪過海真係好舒服。
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co5 tin1 sing1 siu2 leon4 gwo3 hoi2 zan1 hai6 hou2 syu1 fuk6.
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呢本書嘅內容非常之精彩。
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ni1 bun2 syu1 ge3 noi6 jung4 fei1 soeng4 zi1 zing1 coi2.
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聽講聽日會落大雨記得帶遮。
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teng1 gong2 ting1 jat6 wui5 lok6 daai6 jyu5 gei3 dak1 daai3 ze1.
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做人最緊要開心其他嘢都係次要。
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zou6 jan4 zeoi3 gan2 jiu3 hoi1 sam1 kei4 taa1 je5 dou1 hai6 ci3 jiu3.
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呢排工作好忙想放個長假。
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ni1 paai4 gung1 zok3 hou2 mong4 soeng2 fong3 go3 coeng4 gaa3.
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廣東話嘅九聲六調真係好有深度。
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gwong2 dung1 waa6 ge3 gau2 sing1 luk6 diu6 zan1 hai6 hou2 jau5 sam1 dou6.
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入嚟坐下唔使咁客氣。
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jap6 lai4 co5 haa5 m4 sai2 gam3 haak3 hei3.
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雖然過程好辛苦但結果係值得嘅。
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seoi1 jin4 gwo3 cing4 hou2 san1 fu2 daan6 git3 gwo2 hai6 zik6 dak1 ge3.
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麻煩晒我想喺呢度落車。
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maa4 faan4 saai3 ngo5 soeng2 hai2 ni1 dou6 lok6 ce1.
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尖沙咀碼頭好多人喺度影相。
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zim1 saa1 zeoi2 maa5 tau4 hou2 do1 jan4 hai2 dou6 jing2 soeng2.
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你有無睇尋晚場足球比賽呀？
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nei5 jau5 mou4 tai2 cam4 maan5 coeng4 zuk1 kau4 bei2 coi3 aa3?.
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點心係香港飲食文化嘅靈魂。
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dim2 sam1 hai6 hoeng1 gong2 jam2 sik6 man4 faa3 ge3 ling4 wan4.
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蝦餃同燒賣係我嘅最愛。
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haa1 gaau2 tung4 siu1 maai6 hai6 ngo5 ge3 zeoi3 oi3.
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我部手提電腦好似壞咗開唔到機。
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ngo5 bou6 sau2 tai4 din6 nou5 hou2 ci5 waai6 zo2 hoi1 m4 dou3 gei1.
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學習新事物永遠都不會太遲。
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hok6 zaap6 san1 si6 mat6 wing5 jyun5 dou1 bat1 wui5 taai3 ci4.
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呢間鋪頭嘅雞蛋仔好出名。
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ni1 gaan1 pou3 tau4 ge3 gai1 daan2 zai2 hou2 ceot1 ming4.
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尋晚瞓得唔係幾好而家好攰。
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cam4 maan5 fan3 dak1 m4 hai6 gei2 hou2 ji4 gaa1 hou2 gui6.
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慢慢嚟唔使急最緊要快。
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maan6 maan6 lai4 m4 sai2 gap1 zeoi3 gan2 jiu3 faai3.
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獅子山精神代表咗香港人嘅堅持。
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si1 zi2 saan1 zing1 san1 doi6 biu2 zo2 hoeng1 gong2 jan4 ge3 gin1 ci4
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我平時鍾意聽下音樂或者睇戲。
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ngo5 ping4 si4 zung1 ji3 ting1 haa5 jam1 ngok6 waak6 ze2 tai2 hei3.
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呢件衫好似幾襯你試下啦。
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ni1 gin6 saam1 hou2 ci5 gei2 can3 nei5 si3 haa5 laa1.
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唔好意思請問地鐵站點樣去？
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m4 hou2 ji3 si1 cing2 man6 dei6 tit3 zaam6 dim2 joeng2 heoi3?.
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保持社交距離保護自己同屋企人。
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bou2 ci4 se5 gaau1 keoi5 lei4 bou2 wu6 zi6 gei2 tung4 uk1 kei2 jan4.
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機會係留畀有準備嘅人。
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gei1 wui6 hai6 lau4 bei2 jau5 zeon2 bei6 ge3 jan4.
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呢個計劃聽落去好有創意。
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ni1 go3 gai3 waak6 ting1 lok6 heoi3 hou2 jau5 cong3 ji3.
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廣東話入面嘅俗語真係好得意。
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gwong2 dung1 waa6 jap6 min6 ge3 zuk6 jyu5 zan1 hai6 hou2 dak1 ji3.
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我想去旺角買啲嘢你有無興趣？
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ngo5 soeng2 heoi3 wong6 gok3 maai5 di1 je5 nei5 jau5 mou4 hing3 ceoi3?.
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出外靠朋友大家互相幫忙。
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ceot1 ngoi6 kaau3 pang4 jau5 daai6 gaa1 wu6 soeng1 bong1 mong4.
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喺繁忙嘅城市入面搵到安靜。
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hai2 faan4 mong4 ge3 sing4 si5 jap6 min6 wan2 dou3 on1 zing6.
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大排檔嘅鑊氣係其他地方搵唔到嘅。
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daai6 paai4 dong3 ge3 wok6 hei3 hai6 kei4 taa1 dei6 fong1 wan2 m4 dou3 ge3.
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聽朝又要上八半堂。
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ting3 ciu4 jau6 jiu3 soeng5 baat3 bun3 tong4.
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你今日著得好靚喎。
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nei5 gam1 jat6 zoek3 dak1 hou2 leng3 wo3.
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圖書館入面要保持安靜。
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tou4 syu1 gun2 jap6 min6 jiu3 bou2 ci4 on1 zing6.
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我決定咗要學好日文。
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ngo5 kyut3 ding6 zo2 jiu3 hok6 hou2 jat6 man4.
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公園入面好多老人家喺度打太極。
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gung1 jyun2 jap6 min6 hou2 do1 lou5 jan4 gaa1 hai2 dou6 daa2taai3 gik6.
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呢個西瓜好甜水分又足。
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ni1 go3 sai1 gwaa1 hou2 tim4 seoi2 fan6 jau6 zuk1.
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唔好忘記你嘅初心。
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m4 hou2 mong4 gei3 nei5 ge3 co1 sam1.
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雖然廣東話好難學但好有趣。
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seoi1 jin4 gwong2 dung1 waa6 hou2 naan4 hok6 daan6 hou2 jau5 ceoi3.
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祝你身體健康事事如意。
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zuk1 nei5 san1 tai2 gin6 hong1 si6 si6 jyu4 ji3.
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佢唱歌真係好好聽。
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keoi5 coeng3 go1 zan1 hai6 hou2 hou2 teng1.
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我希望可以為社會出一分力。
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ngo5 hei1 mong4 ho2 ji5 wai6 se5 wui2 ceot1 jat1 fan1 lik6.
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喺呢度睇日落真係好浪漫。
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hai2 ni1 dou6 tai2 jat6 lok6 zan1 hai6 hou2 long6 maan6.
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多謝你一直以來嘅支持。
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do1 ze6 nei5 jat1 zik6 ji5 loi4 ge3 zi1 ci4.
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我完成咗呢個語音數據集喇。
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ngo5 jyun4 cing4 zo2 ni1 go3 jyu5 jam1 sou3 geoi6 zaap6 laa3.
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Dataset Description: This dataset contains 50 Cantonese audio clips recorded by native Cantonese male speakers aged 20, along with their corresponding text transcriptions. The audio content covers daily Cantonese conversations, which introduce Hong Kong’s unique culture through local tea restaurants, famous locations, and idioms.
The audio dataset collection is approximately 3 minutes long, and it was recorded in a quiet and indoor space with the microphone of a MacBook Air. By Using the Praat audio tool, the original large recording was segmented into 50 independent audio segments, which were stored in 16-bit PCM WAV format with a sampling rate of 44.1kHz. Combined with the data’s linguistic diversity that expresses the six enclosed tone features of Cantonese, this material aims at training the Text-to-speech (TTS) model.
Issues that I encountered and solutions
Issue 1: Recording in a closed indoor environment might produce some "slight echo", where sound waves reflect off hard surfaces, reducing audio clarity. After several attempts, I adopted a temporary acoustic treatment, which is recording in a small space with soft carpet and soft furniture (my bed). It turns out that it can absorb some high-frequency reflections, and is supplemented by the noise cancellation function on my MacBook Air.
Issue 2: It is difficult to maintain an absolutely consistent distance with the microphone during recording, as a slight head movement can cause unsteady volume and frequency shifts. To improve this issue, I used Praat's intensity analysis feature to identify segments with decibel values that are not aligned with our target range (below 30 dB or above 70 dB). and make some supplements with some re-recording of some unstable audio segments.
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