How to Identify TikTok Background Songs Using Huawei Cloud AI and Python

This article walks through a hands‑on experiment using Huawei Cloud RDS and Python to convert short videos into audio, extract voiceprints, and match them against a database, demonstrating how speech‑signal processing enables accurate identification of background songs in TikTok‑style clips.

Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
How to Identify TikTok Background Songs Using Huawei Cloud AI and Python

Introduction

The rapid rise of short‑video platforms such as Douyin and Kuaishou has created a demand for instant music identification. The “listen‑to‑song” feature quickly became popular, and this article explains the technology behind accurate song recognition through a DIY experiment using Huawei Cloud services.

Experiment Overview

The hands‑on lab, part of Huawei Cloud Academy’s micro‑certification, combines Huawei Cloud RDS, Python, and speech‑processing techniques to recognize background music in short videos. Participants learn core concepts of RDS and voice processing, and practice deploying Python‑RDS integrated experiments.

Technical Process

Using Python, short videos are converted to audio format, voiceprint data is extracted, and the extracted features are compared with those stored in a voiceprint database. Matching results yield the song name, achieving reliable background‑song identification.

Speech‑Signal Processing Basics

Speech‑Signal Processing (often called voice processing) studies the production, statistical characteristics, automatic recognition, synthesis, and perception of speech signals. Modern techniques rely on digital computation performed by microprocessors, DSPs, or general‑purpose computers.

Applying these techniques improves the accuracy of background‑song recognition by extracting voice features and matching them against a stored database.

Voiceprint Recognition

Voiceprint (speaker) recognition extracts unique vocal features from speech signals. It consists of two stages: registration (enrolling a voiceprint into the database) and verification (matching an incoming voice sample against stored voiceprints).

After registration, voice features are stored in a voiceprint database. When a new audio file is processed, its features are extracted and compared with the database to obtain the best match.

Voiceprint registration and verification
Voiceprint registration and verification

Implementation Steps with Huawei Cloud

Install Python 3.

Create a Huawei Cloud RDS instance that meets the experiment requirements.

Configure the necessary environment variables and components so that Python 3 runs correctly.

Create an Elastic IP and ensure Python can connect to the RDS instance.

Following these four steps completes the “TikTok short‑video background‑song recognition” task.

Solution architecture
Solution architecture
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cloud computingPythonAIspeech processingsong recognition
Huawei Cloud Developer Alliance
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Huawei Cloud Developer Alliance

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