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xjia520's Projects

add_noise_and_rir_to_speech icon add_noise_and_rir_to_speech

The purpose of this code base is to add a specified signal-to-noise ratio noise from MUSAN dataset to a pure speech signal and to generate far-field speech data using room impulse response data from BUT Speech@FIT Reverb Database.

audiofilter icon audiofilter

audio filtering library/tools including dts-hd (based on ac3filter)

audioflux icon audioflux

A library for audio and music analysis, feature extraction.

audioset-classification icon audioset-classification

Train a Deep Learning model to classify audio embeddings on IBM's Deep Learning as a Service (DLaaS) platform - Watson Machine Learning

bark icon bark

🔊 Text-prompted Generative Audio Model

basic_cnns_tensorflow2 icon basic_cnns_tensorflow2

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

book icon book

Deep Learning 101 with PaddlePaddle (『飞桨』深度学习框架入门教程)

deepspeech icon deepspeech

DeepSpeech is an open source speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

deepvoice icon deepvoice

Deep Voice: Real-time Neural Text-to-Speech

detectron2 icon detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

ffmpeg icon ffmpeg

Mirror of git://source.ffmpeg.org/ffmpeg.git

fma icon fma

FMA: A Dataset For Music Analysis

human-activity-recognition-using-recurrent-neural-nets-rnn-lstm-and-tensorflow-on-smartphones icon human-activity-recognition-using-recurrent-neural-nets-rnn-lstm-and-tensorflow-on-smartphones

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.

kaldi icon kaldi

This is the official location of the Kaldi project.

libaudioverse icon libaudioverse

A library for realtime audio synthesis with 3D and environmental audio support

magenta icon magenta

Magenta: Music and Art Generation with Machine Intelligence

mockingbird icon mockingbird

🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

ontology icon ontology

The Audio Set Ontology aims to provide a comprehensive set of categories to describe sound events.

openemo icon openemo

Emotion classification of speech using GMMHMMs

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