Datasets:
Dataset Viewer
audio
audioduration (s) 2.93
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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 football.
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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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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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Calm mind brings inner strength.
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The river flows gently through the valley.
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He opened the door and stepped out.
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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 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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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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The 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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Thankyou for listening to my recordings.
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This is the last sentence in my list or recordings.
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Audio Transcription Dataset
This dataset contains 99 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: 99
- Audio format: WAV files at 16kHz sampling rate
- Average transcript length: 40.8 characters
- Language: English
Sample Data
| Audio File | Transcript |
|---|---|
| R1.wav | 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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