荣耀音频算法工程师
社招全职研发类地点：北京 | 西安状态：招聘
包括英文材料
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
CNN+
https://learnopencv.com/understanding-convolutional-neural-networks-cnn/
Convolutional Neural Network (CNN) forms the basis of computer vision and image processing.
[英文] CNN Explainer
https://poloclub.github.io/cnn-explainer/
Learn Convolutional Neural Network (CNN) in your browser!
https://www.deeplearningbook.org/contents/convnets.html
Convolutional networks(LeCun, 1989), also known as convolutional neuralnetworks, or CNNs, are a specialized kind of neural network for processing data.
https://www.youtube.com/watch?v=2xqkSUhmmXU
MIT Introduction to Deep Learning 6.S191: Lecture 3 Convolutional Neural Networks for Computer Vision
RNN+
https://d2l.ai/chapter_recurrent-neural-networks/rnn.html
A neural network that uses recurrent computation for hidden states is called a recurrent neural network (RNN).
https://www.deeplearningbook.org/contents/rnn.html
Recurrent neural networks, or RNNs (Rumelhart et al., 1986a), are a family of neural networks for processing sequential data.
https://www.ibm.com/think/topics/recurrent-neural-networks
A recurrent neural network or RNN is a deep neural network trained on sequential or time series data to create a machine learning (ML) model that can make sequential predictions or conclusions based on sequential inputs.
LSTM+
https://colah.github.io/posts/2015-08-Understanding-LSTMs/
Humans don’t start their thinking from scratch every second.
https://d2l.ai/chapter_recurrent-modern/lstm.html
The term “long short-term memory” comes from the following intuition.
https://developer.nvidia.com/discover/lstm
A Long short-term memory (LSTM) is a type of Recurrent Neural Network specially designed to prevent the neural network output for a given input from either decaying or exploding as it cycles through the feedback loops.
https://www.youtube.com/watch?v=YCzL96nL7j0
Basic recurrent neural networks are great, because they can handle different amounts of sequential data, but even relatively small sequences of data can make them difficult to train.
C+
https://www.freecodecamp.org/chinese/news/the-c-beginners-handbook/
本手册遵循二八定律。你将在 20% 的时间内学习 80% 的 C 编程语言。
https://www.youtube.com/watch?v=87SH2Cn0s9A
https://www.youtube.com/watch?v=KJgsSFOSQv0
This course will give you a full introduction into all of the core concepts in the C programming language.
https://www.youtube.com/watch?v=PaPN51Mm5qQ
In this complete C programming course, Dr. Charles Severance (aka Dr. Chuck) will help you understand computer architecture and low-level programming with the help of the classic C Programming language book written by Brian Kernighan and Dennis Ritchie.
C+++
https://www.learncpp.com/
LearnCpp.com is a free website devoted to teaching you how to program in modern C++.
https://www.youtube.com/watch?v=ZzaPdXTrSb8
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文，免费，零起点，完整示例，基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
相关职位
校招AI/算法类
作为音频团队的一份子，你将有机会和团队中业界顶尖的的技术专家和合作伙伴一起开发创新的音频算法，让更多的消费者喜欢我们的声音和产品！ 具体工作方向包括： 1.发现音频领域创新场景运用和提供算法解决方案； 2.参与移动设备中音频链路的算法开发和落地，包括采集、处理、回放和渲染等环节； 3.负责音频一个或多个算法模块的技术演进和开发； 4.负责算法模块在产品中的落地交付，达到设计指标； 5.跟踪业界最新技术发展，评估并预研新技术方向和技术。
更新于 2025-07-14
校招研发类
1、负责音频算法专业领域技术规划、方案设计以及算法落地交付（如：算法压缩量化、推理加速、小型化部署）； 2、负责音频算法领域前瞻技术的研究和探索，保证音频算法方案在业界的先进性和竞争力； 3、专业领域包括但不限于：语音增强（回声抑制、降噪等）、智能语音（语音唤醒、多命令词识别、声纹识别等）、影音音效（基础音效、空间音频等）。
更新于 2025-08-08
社招
岗位职责： 1、负责音视频产品音频技术开发，算法实现和优化； 2、移动平台、跨平台代码移植和算法优化； 3、音频前后处理如降噪、DSP、音频信号处理； 4、大规模语音及歌声素材的分析处理； 5、AI音乐生成、声音克隆等前沿技术开发和预研。
更新于 2025-04-25