Neural Network Audio Recognition

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PANNs: Large-Scale Pretrained Audio Neural Networks for ...

https://arxiv.org/abs/1912.10211#:~:text=Audio%20pattern%20recognition%20is%20an%20important%20research%20topic,been%20applied%20to%20tackle%20audio%20pattern%20recognition%20problems.

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Building an Audio Classifier using Deep Neural Networks ...

https://www.kdnuggets.com/2017/12/audio-classifier-deep-neural-networks.html

Using a deep convolutional neural network architecture to classify audio and how to effectively use transfer learning and data-augmentation to improve model accuracy using small datasets. comments By Narayan Srinivasan. Understanding sound is one of the basic tasks that our brain performs.

Audio Recognition using Mel Spectrograms and Convolution ...

http://noiselab.ucsd.edu/ECE228_2019/Reports/Report38.pdf

Audio Recognition using Mel Spectrograms and Convolution Neural Networks Boyang Zhang Jared Leitner Sam Thornton Dept. of Electrical and Computer Engineering, University of California, San Diego Email: {boz083, jjleitne, sjthornt}@ucsd.edu Automatic sound recognition has …

Speech Recognition with Neural Networks - Andrew …

https://andrew.gibiansky.com/blog/machine-learning/speech-recognition-neural-networks/

Speech Recognition with Neural Networks We've previously talked about using recurrent neural networks for generating text, based on a similarly titled paper. Recently, recurrent neural networks have been successfully applied to the difficult problem of speech recognition.

Recurrent Neural Network Transducer for Audio-Visual ...

https://deepai.org/publication/recurrent-neural-network-transducer-for-audio-visual-speech-recognition

This work presents a large-scale audio-visual speech recognition system based on a recurrent neural network transducer (RNN-T) architecture. To support the development of such a system, we built a large audio-visual (A/V) dataset of segmented utterances extracted from YouTube public videos, leading to 31k hours of audio-visual training content.

neural network - Recognition of numbers from audio - Data ...

https://datascience.stackexchange.com/questions/60865/recognition-of-numbers-from-audio

If only considering numbers spoken with a single digit at a time, this can be done with a standard audio classifier, such as in the Tensorflow Simple Audio Recognition tutorial. It uses the Google Speech Commands dataset contains utterances of the words 1-9, along with Yes, No etc. Share Improve this answer answered Sep 28 '19 at 9:53 Jon Nordby

Deep Learning for Audio - Svetlana Lazebnik

http://slazebni.cs.illinois.edu/spring17/lec26_audio.pdf

George E. Dahl, et al. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition. IEEE Trans. Audio, Speech & Language Processing, 2012. Aim of Automatic Speech Recognition Find the most likely sentence (word sequence) 𝑾, which transcribes the speech audio 𝑨: ෢𝑾=argmax 𝑾 𝑾𝑨=argmax 𝑾 𝑨𝑾 (𝑾)

Speech Emotion Recognition with Convolutional Neural …

https://towardsdatascience.com/speech-emotion-recognition-with-convolution-neural-network-1e6bb7130ce3

Unlike drawing a bounding box on an image, it requires trained personnel to listen to the whole audio recording, analysis it and give an annotation. The annotation result has to be evaluated by multiple individuals due to its subjectivity. Project Description: Using Convolutional Neural Network to recognize emotion from the audio recording.

Speech Command Recognition with Convolutional Neural …

http://cs229.stanford.edu/proj2017/final-reports/5244201.pdf

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