Update 'content/topic/(against)-the-coming-world-of-listening-machines.md'

content/topic/(against)-the-coming-world-of-listening-machines.md

@@ -22,6 +22,7 @@ audio event analysis[^Virtanen] -
 audio context awareness {{< nosup >}}[[i](https://ieeexplore.ieee.org/document/1285814 "Audio-based context awareness acoustic modeling and perceptual evaluation")]{{< /nosup >}} - 
 music mood analysis {{< nosup >}}[[i](https://www.semanticscholar.org/paper/Multi-Modal-Non-Prototypical-Music-Mood-Analysis-in-Schuller-Weninger/ed0c10ca76ea8ee17514fa569ddf9d0ac7c3a6d5 "Multi-Modal Non-Prototypical Music Mood Analysis in Continuous Space: Reliability and Performances")]{{< /nosup >}} - 
 music identification {{< nosup >}}[[i](https://www.shazam.com/ "Shazam: Name any song in seconds")]{{< /nosup >}} - 
+cover song identification {{< nosup >}}[[i](https://steinhardt.nyu.edu/marl/research/projects/cover-song-identification)]{{< /nosup >}} - 
 music playlist generation[^Seaver] - 
 audio synthesis {{< nosup >}}[[i](https://paperswithcode.com/task/audio-generation "Audio Generation")]{{< /nosup >}} - 
 speech synthesis {{< nosup >}}[[i](https://deepmind.com/blog/article/wavenet-generative-model-raw-audio " WaveNet: A generative model for raw audio "), [ii](https://cloud.google.com/text-to-speech " Convert text into natural-sounding speech using an API powered by Google’s AI technologies."), [iii](https://www.descript.com/lyrebird "Lyrebird AI