Top 10 Audio Datasets for Machine Learning

Are you looking for the best audio datasets for your machine learning projects? Look no further! In this article, we will explore the top 10 audio datasets that will help you train your models and achieve accurate results. From speech recognition to music classification, these datasets cover a wide range of audio applications. So, let's dive in!

1. Speech Commands Dataset

The Speech Commands Dataset is a collection of 65,000 one-second audio clips of people speaking simple commands like "stop," "go," and "yes." This dataset is perfect for training speech recognition models and can be used for a variety of applications, including voice-controlled devices and virtual assistants. The dataset is available for download on the TensorFlow website.

2. UrbanSound8K Dataset

The UrbanSound8K Dataset is a collection of 8,732 audio files of urban sounds, such as sirens, car horns, and street music. This dataset is ideal for training models for sound classification and can be used for applications like noise pollution monitoring and urban planning. The dataset is available for download on the UrbanSound website.

3. Free Spoken Digit Dataset

The Free Spoken Digit Dataset is a collection of 2,000 recordings of spoken digits from 0 to 9. This dataset is perfect for training models for speech recognition and can be used for applications like phone number recognition and voice-controlled devices. The dataset is available for download on the Kaggle website.

4. GTZAN Genre Collection

The GTZAN Genre Collection is a collection of 1,000 audio files of 10 different genres of music, including blues, classical, and hip-hop. This dataset is ideal for training models for music classification and can be used for applications like music recommendation systems and genre recognition. The dataset is available for download on the GTZAN website.

5. ESC-50 Dataset

The ESC-50 Dataset is a collection of 2,000 environmental sound recordings, such as animal sounds, natural sounds, and human sounds. This dataset is perfect for training models for sound classification and can be used for applications like wildlife monitoring and soundscape analysis. The dataset is available for download on the ESC-50 website.

6. Common Voice Dataset

The Common Voice Dataset is a collection of over 9,000 hours of speech recordings in multiple languages. This dataset is ideal for training models for speech recognition and can be used for applications like language translation and voice-controlled devices. The dataset is available for download on the Common Voice website.

7. LibriSpeech ASR Corpus

The LibriSpeech ASR Corpus is a collection of over 1,000 hours of speech recordings from audiobooks. This dataset is perfect for training models for speech recognition and can be used for applications like audiobook transcription and voice-controlled devices. The dataset is available for download on the OpenSLR website.

8. TIMIT Acoustic-Phonetic Continuous Speech Corpus

The TIMIT Acoustic-Phonetic Continuous Speech Corpus is a collection of over 6,000 speech recordings from 630 speakers. This dataset is ideal for training models for speech recognition and can be used for applications like speaker recognition and voice-controlled devices. The dataset is available for download on the Linguistic Data Consortium website.

9. VoxCeleb Dataset

The VoxCeleb Dataset is a collection of over 1,000 hours of speech recordings from celebrities and public figures. This dataset is perfect for training models for speaker recognition and can be used for applications like voice authentication and voice-controlled devices. The dataset is available for download on the VoxCeleb website.

10. MUSAN Dataset

The MUSAN Dataset is a collection of over 8,000 audio files of music, speech, and noise. This dataset is ideal for training models for sound classification and can be used for applications like audio scene recognition and speech enhancement. The dataset is available for download on the MUSAN website.

Conclusion

In conclusion, these top 10 audio datasets are perfect for training machine learning models for a variety of audio applications. Whether you are working on speech recognition, music classification, or sound classification, these datasets will provide you with the labeled data you need to achieve accurate results. So, what are you waiting for? Download these datasets and start training your models today!

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