Datasets:
Dataset Viewer
audio
audioduration (s) 2.93
11
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stringlengths 24
86
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Hello, my name is Rocky.
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I am speaking English for a voice recording.
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This is a test sentence for training the model.
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The quick brown fox jumps over the lazy dog.
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Artificial intelligence is changing the world.
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I enjoy learning new technologies every day.
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My favorite hobby is playing the guitar.
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Sometimes I go for a walk in the evening.
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The weather today is sunny and pleasant.
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Can you hear me clearly in this recording?
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I like to drink coffee in the morning.
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Reading books helps me relax after work.
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The sun sets beautifully over the horizon.
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She sells seashells by the seashore.
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Peter Piper picked a peck of pickled peppers.
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I am testing different tones in my voice.
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Life is full of opportunities and challenges.
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Consistency is the key to mastering any skill.
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My hometown is known for its rich culture.
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Speaking slowly makes the voice more clear.
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The train arrives at the station on time.
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He quickly ran across the busy street.
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Knowledge is power when applied wisely.
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I like experimenting with new projects.
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The library is a peaceful place to study.
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Birds are chirping loudly in the morning.
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Every day is a chance to improve myself.
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I believe practice makes a person perfect.
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The classroom was filled with laughter.
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Success comes with patience and effort.
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The stars twinkle brightly at night.
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A calm mind brings inner strength.
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My favorite season is the winter.
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The river flows gently through the valley.
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He opened the door and stepped outside.
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Technology connects people across the globe.
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Clear pronunciation is important for speech.
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She enjoys writing stories in her notebook.
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I am working hard to achieve my dreams.
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Silence can sometimes be very powerful.
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A journey of a thousand miles begins with a single step.
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The computer is running multiple programs smoothly.
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I enjoy traveling and meeting new people.
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Time management is an essential skill.
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The child was playing happily in the park.
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Music is a universal language of emotions.
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I like to explore new ideas in science.
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Patience and discipline lead to progress.
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The mountains look stunning in the morning light.
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Always speak with confidence and clarity.
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The phone rang loudly during the meeting.
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Healthy food keeps the body strong.
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I love coding and building new projects.
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The classroom was silent when the teacher entered.
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Courage is not the absence of fear.
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This project is going to be very exciting.
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The ocean waves crash against the shore.
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Good communication improves relationships.
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I want to improve my public speaking skills.
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She smiled brightly and waved her hand.
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I try to stay positive in every situation.
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The road was empty and quiet at night.
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Hard work always pays off in the end.
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My favorite subject is computer science.
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The sound of rain is very relaxing.
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I always look forward to learning something new.
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The festival lights decorated the streets beautifully.
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Happiness comes from within the heart.
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The airplane flew high above the clouds.
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I will record all these sentences carefully.
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The future depends on what we do today.
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He looked at the stars and felt inspired.
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Listening is just as important as speaking.
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The garden is full of colorful flowers.
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I like solving puzzles and brain teasers.
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Discipline builds the foundation of success.
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The clock ticked softly in the background.
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I hope these recordings are useful for training.
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The forest was dark and mysterious.
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I always try to keep my promises.
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Dreams give us direction and motivation.
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The sound of birds makes me feel peaceful.
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Learning never stops in a curious mind.
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The river water was cold and refreshing.
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I want to improve my pronunciation skills.
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The sky was filled with dark clouds.
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Determination helps overcome all obstacles.
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She read the book quietly in the library.
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I enjoy spending time with my friends.
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The candle flickered in the dark room.
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Practice and repetition make learning easy.
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I am recording these lines for a dataset.
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Success is the result of consistent effort.
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The dog barked loudly at the stranger.
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Confidence grows when we face challenges.
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The flowers bloom beautifully in spring.
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I will keep working hard every day.
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A positive attitude changes everything.
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The city lights sparkle at night.
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Traveling to mountains taught me the value of creativity in life.
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End of preview. Expand
in Data Studio
Audio Transcription Dataset
This dataset contains 197 audio recordings with their corresponding transcriptions for automatic speech recognition (ASR) tasks.
Dataset Description
This dataset includes:
- Audio files: High-quality voice recordings (.wav format)
- Transcriptions: Accurate text transcriptions of the spoken content
- Proper Audio feature type: Ready for model training (not just file paths!)
Dataset Statistics
- Total samples: 197
- Audio format: WAV files at 16kHz sampling rate
- Average transcript length: 56.6 characters
- Language: English
Sample Data
| Audio File | Transcript |
|---|---|
| R1.wav | Hello, my name is Rocky. |
| R10.wav | I am speaking English for a voice recording. |
| R11.wav | This is a test sentence for training the model. |
Usage
from datasets import load_dataset
# Load the dataset
dataset = load_dataset("Aashish17405/audio-dataset")
# Access audio data (proper Audio type, not string!)
audio_sample = dataset['train'][0]['audio']
print(f"Sampling rate: {audio_sample['sampling_rate']}")
print(f"Audio array shape: {audio_sample['array'].shape}")
print(f"Transcript: {dataset['train'][0]['transcript']}")
# Ready for model training with transformers
from transformers import WhisperProcessor, WhisperForConditionalGeneration
processor = WhisperProcessor.from_pretrained("openai/whisper-tiny")
model = WhisperForConditionalGeneration.from_pretrained("openai/whisper-tiny")
# Process audio
inputs = processor(audio_sample["array"], sampling_rate=audio_sample["sampling_rate"], return_tensors="pt")
Features
✅ Proper Audio Type: Audio column shows as "Audio" feature, not "string"
✅ High Quality: Clear voice recordings
✅ Diverse Content: Various sentences and topics
✅ Training Ready: Formatted for immediate use with speech models
Use Cases
- Fine-tuning speech recognition models (Whisper, Wav2Vec2, etc.)
- Voice training and accent recognition
- Speech-to-text model development
- Audio processing research
License
MIT License - Free to use for research and commercial purposes.
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