Datasets:
audio audioduration (s) 2.93 7.1 | transcript stringlengths 17 54 |
|---|---|
my name is Rocky. | |
I am speaking English for a voice recording. | |
This is a test sentence for training the model. | |
The quick brown fox jumps over the lazy dog. | |
Artificial intelligence is changing the world. | |
I enjoy learning new technologies every day. | |
My favorite hobby is playing the football. | |
Sometimes I go for a walk in the evening. | |
The weather today is sunny and pleasant. | |
Can you hear me clearly in this recording? | |
I like to drink coffee in the morning. | |
Books helps me relax after work. | |
The sun sets beautifully over the horizon. | |
She sells seashells by the seashore. | |
Peter Piper picked a peck of pickled peppers. | |
I am testing different tones in my voice. | |
Life is full of opportunities and challenges. | |
Consistency is the key to mastering any skill. | |
My hometown is known for its rich culture. | |
Speaking slowly makes the voice more clear. | |
The train arrives at the station on time. | |
He quickly ran across the busy street. | |
Knowledge is power when applied wisely. | |
I like experimenting with new projects. | |
The library is a peaceful place to study. | |
Birds are chirping loudly in the morning. | |
Every day is a chance to improve myself. | |
I believe practice makes a person perfect. | |
The classroom was filled with laughter. | |
Success comes with patience and effort. | |
The stars twinkle brightly at night. | |
Calm mind brings inner strength. | |
The river flows gently through the valley. | |
He opened the door and stepped out. | |
Technology connects people across the globe. | |
Clear pronunciation is important for speech. | |
She enjoys writing stories in her notebook. | |
I am working hard to achieve my dreams. | |
Silence can sometimes be very powerful. | |
A journey of thousand miles begins with a single step. | |
The computer is running multiple programs smoothly. | |
I enjoy traveling and meeting new people. | |
Time management is an essential skill. | |
Music is a universal language of emotions. | |
I like to explore new ideas in science. | |
Patience and discipline lead to progress. | |
The mountains look stunning in the morning light. | |
Always speak with confidence and clarity. | |
The phone rang loudly during the meeting. | |
Healthy food keeps the body strong. | |
I love coding and building new projects. | |
The classroom was silent when the teacher entered. | |
The courage is not the absence of fear. | |
This project is going to be very exciting. | |
The ocean waves crash against the shore. | |
Good communication improves relationships. | |
I want to improve my public speaking skills. | |
She smiled brightly and waved her hand. | |
I try to stay positive in every situation. | |
The road was empty and quiet at night. | |
Hard work always pays off in the end. | |
My favorite subject is computer science. | |
The sound of rain is very relaxing. | |
I always look forward to learning something new. | |
The festival lights decorated the streets beautifully. | |
Happiness comes from within the heart. | |
The airplane flew high above the clouds. | |
I will record all these sentences carefully. | |
The future depends on what we do today. | |
He looked at the stars and felt inspired. | |
Listening is just as important as speaking. | |
The garden is full of colorful flowers. | |
I like solving puzzles and brain teasers. | |
Discipline builds the foundation of success. | |
The clock ticked softly in the background. | |
I hope these recordings are useful for training. | |
The forest was dark and mysterious. | |
I always try to keep my promises. | |
Dreams give us direction and motivation. | |
The sound of birds makes me feel peaceful. | |
Learning never stops in a curious mind. | |
The river water was cold and refreshing. | |
I want to improve my pronunciation skills. | |
The sky was filled with dark clouds. | |
Determination helps overcome all obstacles. | |
She read the book quietly in the library. | |
I enjoy spending time with my friends. | |
The candle flickered in the dark room. | |
Practice and repetition make learning easy. | |
I am recording these lines for a dataset. | |
Success is the result of consistent effort. | |
The dog barked loudly at the stranger. | |
Confidence grows when we face challenges. | |
The flowers bloom beautifully in spring. | |
I will keep working hard every day. | |
A positive attitude changes everything. | |
The city lights sparkle at night. | |
Thankyou for listening to my recordings. | |
This is the last sentence in my list or recordings. |
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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