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Audio (14 results) showing 1 - 10



An end-to-end source separation in the time-domain. Vocal separation of an input source audio. It uses a convolutional neural network to separate the background music/noise and vocals in an input wav/mp3 audio file. The model package is an adaptation of the U-Net architecture to the one-dimensional...

Model Package - Fulfilled on Amazon SageMaker

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Sensifai offers automatic audio recognition and tagging. For example, our basic software recognizes hundreds of different sound categories like musical instruments, natural sounds, and machinery audios. In Sagemaker platform, you can easily fine-tune this software to recognize a new set of audios...

Algorithm - Fulfilled on Amazon SageMaker


Deepgram Brain Speech Recognition provides high accuracy, scalable speech recognition built to deliver actionable insights from voice data in realtime. With deep learning speech models optimally trained to understand your recorded audio, Deepgram run on Amazon’s cloud is the one-stop-shop for...

Model Package - Fulfilled on Amazon SageMaker


Deepgram Brain Speech Recognition provides high accuracy, scalable speech recognition built to deliver actionable insights from voice data in realtime. With deep learning speech models optimally trained to understand your recorded audio, Deepgram run on Amazon’s cloud is the one-stop-shop for...

Model Package - Fulfilled on Amazon SageMaker


Deepgram Brain Speech Recognition provides high accuracy, scalable speech recognition built to deliver actionable insights from voice data in realtime. With deep learning speech models optimally trained to understand your recorded audio, Deepgram run on Amazon’s cloud is the one-stop-shop for...

Model Package - Fulfilled on Amazon SageMaker


Deepgram Brain Speech Recognition provides high accuracy, scalable speech recognition built to deliver actionable insights from voice data in realtime. With deep learning speech models optimally trained to understand your recorded audio, Deepgram run on Amazon’s cloud is the one-stop-shop for...

Model Package - Fulfilled on Amazon SageMaker


This model is trained to recognize if there is any sort of background noise (be it a dog barking, street sounds, static, airplane noise, or anything other than the main speaker speaking) when there is a single speaker in the audio snippet. Fundamentally, it classifies an audio recording as noisy or...

Model Package - Fulfilled on Amazon SageMaker


This model detects the gender of a speaker in a clip of audio and can be used to better help service customers and personalize their experiences with your product or service. It was mostly trained on English speakers from North America, though we have tested with both English and multilingual...

Model Package - Fulfilled on Amazon SageMaker


This model is trained to recognize if there is any sort of background noise (be it a dog barking, street sounds, static, airplane noise, or anything other than the main speaker speaking) when there is a single speaker in the audio snippet. Fundamentally, it classifies an audio recording as noisy or...

Model Package - Fulfilled on Amazon SageMaker

Free Trial


Sensifai offers automatic music genre recognition and tagging. For example, our basic software recognizes different categories of music pieces. In Sagemaker platform, you can easily fine-tune this software to recognize a new set of music genres by providing the required training dataset.

Algorithm - Fulfilled on Amazon SageMaker