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Syntts-Commands-Media-Dataset

Tasks:
Audio Classification
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Audio
Languages:
English
Chinese
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keyword-spotting
tts-synthetic
multilingual
speech-commands
tinyml
edge-ai
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metadata 
license: mit
task_categories:
  - audio-classification
language:
  - en
  - zh
tags:
  - keyword-spotting
  - tts-synthetic
  - multilingual
  - speech-commands
  - tinyml
  - edge-ai

SynTTS-Commands: A Multilingual Synthetic Speech Command Dataset

Python Domain Size Utterances Speakers Benchmarks Code License

πŸ“– Introduction

SynTTS-Commands is a large-scale, multilingual synthetic speech command dataset specifically designed for low-power Keyword Spotting (KWS) and speech command recognition tasks. As presented in the paper SynTTS-Commands: A Public Dataset for On-Device KWS via TTS-Synthesized Multilingual Speech, this dataset is generated using advanced Text-to-Speech (TTS) technologies, aiming to address the scarcity of high-quality training data in the fields of TinyML and Edge AI.

🎯 Core Features

  • Multilingual Coverage: Includes bilingual speech commands in both Chinese and English.
  • High-Quality Synthesis: Generated via advanced TTS technology, ensuring high naturalness in speech.
  • Speaker Diversity: Incorporates multiple acoustic feature sources to ensure a rich variety of speaker styles.
  • Real-World Scenarios: Commands are designed for practical applications, including smart homes, in-car systems, and multimedia control.
  • Rigorous Quality Assurance: All speech data has been screened via ASR models combined with manual human verification.

πŸ“Š Dataset Overview

Statistics

The SynTTS-Commands-Media-Dataset contains a total of 384,621 speech samples, covering 48 distinct multimedia control commands. It is divided into four subsets with the following distribution:

Subset Speakers Commands Samples Duration (hrs) Size (GB)
Free-ST-Chinese 855 25 21,214 6.82 2.19
Free-ST-English 855 23 19,228 4.88 1.57
VoxCeleb1&2-Chinese 7,245 25 180,331 58.03 18.6
VoxCeleb1&2-English 7,245 23 163,848 41.6 13.4
Total 8,100 48 384,621 111.33 35.76

Dataset Highlights

  • Massive Scale: Totaling 111.33 hours and 35.76 GB of synthetic speech data, making it one of the largest synthetic speech command datasets for academic research.
  • Extensive Speaker Diversity: Covers 8,100 unique speakers, spanning various accent groups, age ranges, and recording conditions.
  • Multi-Dimensional Research Support: The four-subset structure enables research into cross-lingual speaker adaptation, speaker diversity effects, and acoustic robustness in different recording environments.
  • Application-Oriented: Specifically focused on multimedia playback control scenarios, providing high-quality training data for real-world deployment.

Directory Structure 

SynTTS-Commands-Media-Dataset/
β”œβ”€β”€ Free_ST_Chinese/        # 21,214 Chinese media control samples (855 speakers)
β”œβ”€β”€ Free_ST_English/        # 19,228 English media control samples (855 speakers)
β”œβ”€β”€ VoxCeleb1&2_Chinese/    # 180,331 Chinese media control samples (7,245 speakers)
β”œβ”€β”€ VoxCeleb1&2_English/    # 163,848 English media control samples (7,245 speakers)
β”œβ”€β”€ reviewed_bad/           # Rejected speech samples (failed quality audit)
β”œβ”€β”€ splits_by_language/     # Dataset splits organized by language
β”‚   β”œβ”€β”€ train/              # Training set
β”‚   β”œβ”€β”€ val/                # Validation set
β”‚   └── test/               # Test set
└── comprehensive_metadata.csv # Complete metadata file

🎯 Media Command Categories

English Media Control Commands (23 Classes)

Playback Control: "Play", "Pause", "Resume", "Play from start", "Repeat song" Navigation: "Previous track", "Next track", "Last song", "Skip song", "Jump to first track" Volume Control: "Volume up", "Volume down", "Mute", "Set volume to 50%", "Max volume" Communication: "Answer call", "Hang up", "Decline call" Wake Words: "Hey Siri", "OK Google", "Hey Google", "Alexa", "Hi Bixby"

Chinese Media Control Commands (25 Classes)

Playback Control: "ζ’­ζ”Ύ", "ζš‚εœ", "继续播放", "δ»Žε€΄ζ’­ζ”Ύ", "单曲εΎͺ环" Navigation: "δΈŠδΈ€ι¦–", "δΈ‹δΈ€ι¦–", "δΈŠδΈ€ζ›²", "δΈ‹δΈ€ζ›²", "θ·³εˆ°η¬¬δΈ€ι¦–", "ζ’­ζ”ΎδΈŠδΈ€εΌ δΈ“θΎ‘" Volume Control: "ε’žε€§ιŸ³ι‡", "ε‡ε°ιŸ³ι‡", "ι™ιŸ³", "ιŸ³ι‡θ°ƒεˆ°50%", "ιŸ³ι‡ζœ€ε€§" Communication: "ζŽ₯听甡话", "ζŒ‚ζ–­η”΅θ―", "ζ‹’ζŽ₯ζ₯η”΅" Wake Words: "小爱同学", "Hello 小智", "小艺小艺", "ε—¨ δΈ‰ζ˜Ÿε°θ΄", "小度小度", "倩猫精灡"

πŸ“ˆ Benchmark Results and Analysis

We present a comprehensive benchmark of six representative acoustic models on the SynTTS-Commands-Media Dataset across both English (EN) and Chinese (ZH) subsets. All models are evaluated in terms of classification accuracy, cross-entropy loss, and parameter count, providing insights into the trade-offs between performance and model complexity in multilingual voice command recognition.

Performance Summary

Model EN Loss EN Accuracy EN Params ZH Loss ZH Accuracy ZH Params
MicroCNN 0.2304 93.22% 4,189 0.5579 80.14% 4,255
DS-CNN 0.0166 99.46% 30,103 0.0677 97.18% 30,361
TC-ResNet 0.0347 98.87% 68,431 0.0884 96.56% 68,561
CRNN 0.0163 99.50% 1.08M 0.0636 97.42% 1.08M
MobileNet-V1 0.0167 99.50% 2.65M 0.0552 97.92% 2.65M
EfficientNet 0.0182 99.41% 4.72M 0.0701 97.93% 4.72M

πŸ—ΊοΈ Roadmap & Future Expansion

We are expanding SynTTS-Commands beyond multimedia to support broader Edge AI applications.

πŸ‘‰ Click here to view our detailed Future Work Plan & Command List

Our upcoming domains include:

  • 🏠 Smart Home: Far-field commands for lighting and appliances.
  • πŸš— In-Vehicle: Robust commands optimized for high-noise driving environments.
  • πŸš‘ Urgent Assistance: Safety-critical keywords (e.g., "Call 911", "Help me") focusing on high recall.

We invite the community to review our Command Roadmap and suggest additional keywords!