Detect filler words in Chinese speech has become essential for professionals who speak in multiple languages or serve international markets. Filler words vary significantly across languages.
Chinese speakers face specific filler words challenges that differ from other languages. Common patterns include language-specific filler words, grammar structures that do not translate directly, and pronunciation habits shaped by the phonetic rules of Chinese. Addressing filler words in Chinese requires tools that understand these linguistic nuances.
SpeakFlare supports Chinese with automatic language detection — no configuration needed. When you speak Chinese in a meeting, the platform switches its entire analysis pipeline: filler word detection uses Chinese-specific patterns (like "就是", "那个", "然后"), grammar rules adapt to Chinese syntax, and the analysis report is generated in a way that reflects Chinese communication norms.
Progress tracking is where the real improvement happens. After your first few analyzed meetings, SpeakFlare shows your baseline metrics: filler word count per minute, grammar error frequency, clarity score, and overall communication effectiveness. Each subsequent meeting updates these metrics, creating trend lines that show concrete improvement in filler words. Most users see measurable progress within two to three weeks of consistent use.
How to measure filler words
The core metric is your filler word rate — the share of your spoken words that are fillers:
Worked example: a transcript of 1,420 words containing 34 fillers:
The second metric, fillers per minute, normalizes for how long you spoke:
What counts as high?
| Filler rate | Fillers / min | How it reads |
|---|---|---|
| Under 1% | 0–1 | Polished, confident |
| 1–2% | 1–3 | Natural, professional |
| 2–4% | 3–6 | Noticeable to listeners |
| Over 4% | 6+ | Distracting, reads as uncertain |
Typical filler words in Chinese
就是 · 那个 · 然后 · 对对对 · 嗯 · 这个
For Chinese speakers working on filler words: review your analysis reports in context. Chinese-specific patterns like "就是" and "那个" are tracked separately. Focus on your top two recurring issues first.