阿里巴巴日常实习生-语音算法
实习兼职阿里巴巴日常实习生地点：北京 | 杭州状态：招聘
任职要求
1、在语音合成、情绪迁移、音频检索、音频分类、声纹识别、语音增强等方面有相关的项目经验，并能够对其中某一领域的算法深入研发并努力创新 2、熟悉传统机器学习基础理论，熟悉深度学习开源框架，深入理解DNN/RNN/CNN/lstm原理,掌握至少一个深度学习…
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工作职责
应用声纹识别、语音合成、情绪迁移等音频技术处理海量音频数据，紧跟业界前沿技术方向，在真实的语音场景进行落地应用，实现音色适配、情绪饱满、高自然度拟人的音频合成，期待追求卓越、自我驱动、聪明乐观的优秀人士加入虎鲸文娱集团，共同开创影视工业化的商业新格局 具体职责包括但不限于： 1、负责基于海量数据和复杂业务场景，和团队其他成员一起构建面向多语言多说话人多情绪的一流语音合成系统 2、负责语音合成相关算法设计，包括Emotional TTS、Speaker Recognition、Instant Voice Clone等模块的算法优化和在实际场景上的落地 3、跟踪业界前沿技术和方法，持续探索语音合成技术的新能力和新应用，解决资源受限场景的实际问题，持续提升语音合成核心能力
包括英文材料
语音合成+
https://www.ibm.com/think/topics/text-to-speech
Text to speech (TTS) is a type of technology that converts text on a digital interface into natural-sounding audio.
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
深度学习+
https://d2l.ai/
Interactive deep learning book with code, math, and discussions.
深度神经网络+
https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
Learn the basics of neural networks and backpropagation, one of the most important algorithms for the modern world.
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.
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