Datasets:
audio
audioduration (s) 4.09
6.73
| hon
stringlengths 42
62
| rom
stringlengths 42
62
|
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I drink a cup of warm water every morning.
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I drink a cup of warm water every morning.
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She walks to the park with her little dog daily.
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She walks to the park with her little dog daily.
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We watch a short cartoon before going to bed.
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We watch a short cartoon before going to bed.
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He eats a fresh apple after finishing his homework.
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He eats a fresh apple after finishing his homework.
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They play basketball on the school ground every Friday.
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They play basketball on the school ground every Friday.
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The sun rises in the east and sets in the west every day.
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The sun rises in the east and sets in the west every day.
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My mom cooks delicious rice for our family at noon.
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My mom cooks delicious rice for our family at noon.
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The bird sings sweet songs on the big tree in spring.
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The bird sings sweet songs on the big tree in spring.
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I open my window to let the fresh air come in.
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I open my window to let the fresh air come in.
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She reads a simple storybook for half an hour each night.
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She reads a simple storybook for half an hour each night.
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We clean our small room together every weekend morning.
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We clean our small room together every weekend morning.
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He finds a nice stone on the road when he goes out.
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He finds a nice stone on the road when he goes out.
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The wind blows the green leaves gently in the park.
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The wind blows the green leaves gently in the park.
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I write a short note to my friend on a white paper.
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I write a short note to my friend on a white paper.
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She waters the small flowers in her garden every afternoon.
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She waters the small flowers in her garden every afternoon.
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We run around the lake for ten minutes every morning.
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We run around the lake for ten minutes every morning.
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He helps his dad carry the light box to the room.
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He helps his dad carry the light box to the room.
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The cat chases a small mouse under the big table.
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The cat chases a small mouse under the big table.
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I put my school bag on the chair near the window.
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I put my school bag on the chair near the window.
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She draws a cute cat on a piece of colorful paper.
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She draws a cute cat on a piece of colorful paper.
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We share our food with each other at the picnic.
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We share our food with each other at the picnic.
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He listens to soft music when he feels a little tired.
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He listens to soft music when he feels a little tired.
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The rain falls down slowly on the clean window glass.
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The rain falls down slowly on the clean window glass.
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I wash my hands carefully before eating any food.
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I wash my hands carefully before eating any food.
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She picks some red flowers in the small garden nearby.
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She picks some red flowers in the small garden nearby.
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We count the small birds on the tree in the morning.
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We count the small birds on the tree in the morning.
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He opens the door for the old man at the street corner.
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He opens the door for the old man at the street corner.
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The clock ticks loudly on the white wall in the room.
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The clock ticks loudly on the white wall in the room.
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I fold my clean clothes and put them in the small box.
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I fold my clean clothes and put them in the small box.
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She talks with her best friend on the phone every evening.
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She talks with her best friend on the phone every evening.
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We plant a small tree in the yard on a sunny morning.
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We plant a small tree in the yard on a sunny morning.
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He kicks a small ball to his little brother in the yard.
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He kicks a small ball to his little brother in the yard.
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The moon shines bright in the dark sky at night.
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The moon shines bright in the dark sky at night.
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I brush my teeth twice a day for good health.
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I brush my teeth twice a day for good health.
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She waits for her mom at the school gate after class.
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She waits for her mom at the school gate after class.
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We collect colorful leaves in the park in autumn.
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We collect colorful leaves in the park in autumn.
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He closes the window when the wind blows too hard.
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He closes the window when the wind blows too hard.
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The dog wags its tail when it sees its owner come back.
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The dog wags its tail when it sees its owner come back.
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I learn a new English word every day from a book.
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I learn a new English word every day from a book.
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She dries her wet hair with a soft towel after a shower.
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She dries her wet hair with a soft towel after a shower.
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We sit on the grass and look at the blue sky together.
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We sit on the grass and look at the blue sky together.
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He carries his small school bag to school every morning.
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He carries his small school bag to school every morning.
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The fire burns brightly and makes the room warm.
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The fire burns brightly and makes the room warm.
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I give a small gift to my sister on her birthday.
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I give a small gift to my sister on her birthday.
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She finds her lost pen under the desk in the classroom.
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She finds her lost pen under the desk in the classroom.
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We sing a simple song together at the family party.
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We sing a simple song together at the family party.
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He draws a big sun on the blackboard in the class.
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He draws a big sun on the blackboard in the class.
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The water flows slowly in the small river through the village.
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The water flows slowly in the small river through the village.
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I take a short walk after dinner with my family every day.
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I take a short walk after dinner with my family every day.
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She smiles and says hello to everyone she meets on the road.
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She smiles and says hello to everyone she meets on the road.
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Dataset Description
This dataset contains 50 simple short sentences. I used the mobile phone recording function to record the voice, and then I divided the whole recording fragment into 50 separate fragments according to pauses and silence on Audacity. After that, I created a metadata.csv to combine these separate audio and audio text conversions. The process is a little long, but there is a strong sense of accomplishment after completion.
Issues Encountered and Solution
In this mission, I encountered some difficulties, two of which impressed me most. One of them is that when using Audacity to edit a whole recording, due to improper parameter setting, my 50 sentences did not appear 50 corresponding labels after automatically adding labels at the end of the marked sound, that is, the split alignment error. Later, I adjusted the judgment parameters of mute and pause, and added personal checks one by one, and finally successfully divided 50 corresponding single-sentence audio files. Another problem is that I carelessly chose the mp3 format when finally exporting the single-sentence audio file, which led to me finally changing the mode again before exporting, which prolonged the task completion time. This task has taught me a lot and consolidated my classroom knowledge through practice, and also made me realize some shortcomings and shortcomings in completing the task. In general, I am very grateful for this valuable task.
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