🎧 Mandarin audio audition β€” your ear decides

Why this page exists: the lone δ½  in the app still doesn't sound right to you β€” and you're the judge, not the numbers. Under each word: what the app plays today, then the best take each candidate source could produce. Play δ½  first, side by side with Pleco's δ½  as your reference.

The percentages are the app's own tone-engine "shape match" against the canonical tone template β€” advisory only. A take can measure well and still sound wrong (that's how we got here). Trust your ears; the measurements are just there so you can see what the machine thinks.

δ½  nǐ Β· tone 3 β˜… the one to judge first

πŸ“± App now β€” your default voice
it-w1-ni-f.opus
shape match 65%engine hears tone 3 βœ“0.36s of voicedip at 67%
πŸ“± App now β€” best shipped take
app drill take Β· voice x
shape match 69%engine hears tone 3 βœ“0.48s of voicedip at 85%
πŸ€– Piper β€” best of 54 (incl. new natural-speed net)
piper citation-grid syl-ni3-x-g4.wav
shape match 78%engine hears tone 3 βœ“0.48s of voicedip at 51%
πŸ€– Kokoro TTS β€” best of 8
kokoro zf_xiaoxiao-s85
shape match 44%engine hears tone 3 βœ“0.40s of voicedip at 74%
🌐 Google Translate voice ⚠️ licensing grey zone
single take; see note at the bottom
shape match 51%engine hears tone 3 βœ“0.65s of voicedip at 72%
πŸ§‘ Human recording β€” Wikimedia Commons
human Β· Vickylin77amis Β· CC BY-SA 4.0
shape match 84%engine hears tone 3 βœ“0.46s of voicedip at 28%
πŸ§‘ Human β€” another speaker
human Β· Levi Highway (εˆ—η»΄εŠ³εΎ·) Β· CC0
shape match 77%engine hears tone 3 βœ“0.74s of voicedip at 49%
πŸ§‘ Human β€” another speaker
human Β· Luilui6666 Β· CC BY-SA 4.0
shape match 32%engine hears tone 3 βœ“0.36s of voicedip at 82%
πŸ§‘ Human β€” another speaker
human Β· Wang Cheng (Yug) Β· CC0
shape match 85%engine hears tone 2 βœ—0.38s of voicedip at 0%
πŸ§‘ Human β€” another speaker
human Β· ι›²θ§’ Β· CC BY-SA 4.0
shape match 64%engine hears tone 2 βœ—0.24s of voicedip at 15%
πŸ§‘ Human β€” another speaker
human Β· other Β· Public domain
shape match 71%engine hears tone 3 βœ“1.68s of voicedip at 23%

ζˆ‘ wΗ’ Β· tone 3

πŸ“± App now β€” your default voice
it-w1-wo-f.opus
shape match 82%engine hears tone 1 βœ—0.42s of voicedip at 49%
πŸ“± App now β€” best shipped take
app drill take Β· voice x
shape match 94%engine hears tone 3 βœ“0.44s of voicedip at 33%
πŸ€– Piper β€” best of 54 (incl. new natural-speed net)
piper citation-grid syl-wo3-x-g5.wav
shape match 94%engine hears tone 3 βœ“0.44s of voicedip at 33%
πŸ€– Kokoro TTS β€” best of 8
kokoro zm_yunxi-s85
shape match 72%engine hears tone 2 βœ—0.21s of voicedip at 0%
🌐 Google Translate voice ⚠️ licensing grey zone
single take; see note at the bottom
shape match 57%engine hears tone 3 βœ“0.59s of voicedip at 69%
πŸ§‘ Human recording β€” Wikimedia Commons
human Β· Levi Highway (εˆ—η»΄εŠ³εΎ·) Β· CC0
shape match 56%engine hears tone 3 βœ“0.69s of voicedip at 100%

马 mǎ · tone 3

πŸ“± App now β€” your default voice
it-w1-ma3-f.opus
shape match 70%engine hears tone 3 βœ“0.48s of voicedip at 77%
πŸ“± App now β€” best shipped take
app drill take Β· voice f
shape match 82%engine hears tone 3 βœ“0.46s of voicedip at 36%
πŸ€– Piper β€” best of 54 (incl. new natural-speed net)
piper citation-grid syl-ma3-f-g2.wav
shape match 82%engine hears tone 3 βœ“0.46s of voicedip at 36%
πŸ€– Kokoro TTS β€” best of 8
kokoro zm_yunxi-s85
shape match 64%engine hears tone 2 βœ—0.19s of voicedip at 0%
🌐 Google Translate voice ⚠️ licensing grey zone
single take; see note at the bottom
shape match 57%engine hears tone 3 βœ“0.53s of voicedip at 69%
πŸ§‘ Human recording β€” Wikimedia Commons
human Β· zh-series Β· CC BY-SA 4.0
shape match 79%engine hears tone 3 βœ“0.42s of voicedip at 44%

ε‡  jǐ Β· tone 3

πŸ“± App now β€” your default voice
it-w2-ji-f.opus
shape match 84%engine hears tone 3 βœ“0.46s of voicedip at 31%
πŸ“± App now β€” best shipped take
app item take Β· voice f
shape match 84%engine hears tone 3 βœ“0.46s of voicedip at 31%
πŸ€– Piper β€” best of 54 (incl. new natural-speed net)
piper citation-grid it-w2-ji-f-g3.wav
shape match 84%engine hears tone 3 βœ“0.46s of voicedip at 26%
πŸ€– Kokoro TTS β€” best of 8
kokoro zf_xiaoxiao-s100
shape match 55%engine hears tone 3 βœ“0.15s of voicedip at 51%
🌐 Google Translate voice ⚠️ licensing grey zone
single take; see note at the bottom
shape match 55%engine hears tone 3 βœ“0.50s of voicedip at 64%
πŸ§‘ Human recording β€” Wikimedia Commons
human Β· Luilui6666 Β· CC BY-SA 4.0
shape match 46%engine hears tone 3 βœ“0.50s of voicedip at 87%

手 shΗ’u Β· tone 3

πŸ“± App now β€” your default voice
it-w2-shou-f.opus
shape match 56%engine hears tone 3 βœ“0.45s of voicedip at 51%
πŸ“± App now β€” best shipped take
app item take Β· voice x
shape match 73%engine hears tone 3 βœ“0.41s of voicedip at 21%
πŸ€– Piper β€” best of 54 (incl. new natural-speed net)
piper citation-grid it-w2-shou-m-g1.wav
shape match 78%engine hears tone 3 βœ“0.38s of voicedip at 44%
πŸ€– Kokoro TTS β€” best of 8
kokoro zf_xiaoxiao-s85
shape match 45%engine hears tone 3 βœ“0.35s of voicedip at 74%
🌐 Google Translate voice ⚠️ licensing grey zone
single take; see note at the bottom
shape match 50%engine hears tone 3 βœ“0.48s of voicedip at 56%
πŸ§‘ Human recording β€” Wikimedia Commons
human Β· zh-series Β· CC BY 2.0 fr
shape match 53%engine hears tone 3 βœ“0.49s of voicedip at 28%

妈 mā · tone 1

πŸ“± App now β€” your default voice
it-w1-ma1-f.opus
shape match 78%engine hears tone 1 βœ“0.41s of voicedip at 51%
πŸ“± App now β€” best shipped take
app item take Β· voice f
shape match 78%engine hears tone 1 βœ“0.41s of voicedip at 51%
πŸ€– Piper β€” best of 54 (incl. new natural-speed net)
piper citation-grid it-w1-ma1-f-g0.wav
shape match 78%engine hears tone 1 βœ“0.41s of voicedip at 56%
πŸ€– Kokoro TTS β€” best of 8
kokoro zf_xiaobei-s85
shape match 60%engine hears tone 1 βœ“0.35s of voicedip at 0%
🌐 Google Translate voice ⚠️ licensing grey zone
single take; see note at the bottom
shape match 78%engine hears tone 1 βœ“0.39s of voicedip at 69%
πŸ§‘ Human recording β€” Wikimedia Commons
human Β· zh-series Β· CC BY-SA 4.0
shape match 46%engine hears tone 2 βœ—0.40s of voicedip at 15%

ιΊ» mΓ‘ Β· tone 2

πŸ“± App now β€” your default voice
it-w1-ma2-f.opus
shape match 93%engine hears tone 2 βœ“0.45s of voicedip at 18%
πŸ“± App now β€” best shipped take
app item take Β· voice f
shape match 93%engine hears tone 2 βœ“0.45s of voicedip at 18%
πŸ€– Piper β€” best of 54 (incl. new natural-speed net)
piper citation-grid it-w1-ma2-f-g3.wav
shape match 93%engine hears tone 2 βœ“0.45s of voicedip at 18%
πŸ€– Kokoro TTS β€” best of 8
kokoro zf_xiaoxiao-s85
shape match 68%engine hears tone 3 βœ—0.59s of voicedip at 64%
🌐 Google Translate voice ⚠️ licensing grey zone
single take; see note at the bottom
shape match 75%engine hears tone 3 βœ—0.46s of voicedip at 62%
πŸ§‘ Human recording β€” Wikimedia Commons
human Β· zh-series Β· CC BY-SA 4.0
shape match 3%engine hears tone 3 βœ—0.33s of voicedip at 85%

ιͺ‚ mΓ  Β· tone 4

πŸ“± App now β€” your default voice
it-w1-ma4-f.opus
shape match 81%engine hears tone 4 βœ“0.60s of voicedip at 87%
πŸ“± App now β€” best shipped take
app drill take Β· voice m
shape match 88%engine hears tone 4 βœ“0.37s of voicedip at 100%
πŸ€– Piper β€” best of 54 (incl. new natural-speed net)
piper citation-grid syl-ma4-m-g1.wav
shape match 89%engine hears tone 4 βœ“0.37s of voicedip at 97%
πŸ€– Kokoro TTS β€” best of 8
kokoro zf_xiaobei-s85
shape match 46%engine hears tone 1 βœ—0.35s of voicedip at 0%
🌐 Google Translate voice ⚠️ licensing grey zone
single take; see note at the bottom
shape match 48%engine hears tone 4 βœ“0.43s of voicedip at 90%
πŸ§‘ Human recording β€” Wikimedia Commons
human Β· zh-series Β· CC BY-SA 4.0
shape match 75%engine hears tone 4 βœ“0.28s of voicedip at 100%

πŸ“Š Source summary (all 8 test words)

SourceMean shape matchRight tone (of 8)Full-library coverageLicensing
App now (Piper, as shipped mq-v10)83%8/8already in appβ€”
Piper best-of-net (regenerated)84%8/8all 148 units generatableopen-source TTS (current engine)
Kokoro TTS57%4/8all units generatable in principleApache-2.0 model
Google Translate TTS59%7/8any text, via Google endpoint⚠️ ToS-grey β€” unofficial endpoint; not cleared to ship
Human recordings (Commons)55%6/886 of 92 library characters found (Lingua Libre + Zh series)CC BY-SA 4.0 mostly; some CC0 / CC BY (attribution needed)

Licensing notes. Human recordings come from Wikimedia Commons (Lingua Libre + the older Zh series): mostly CC BY-SA 4.0 β€” free to use with attribution and share-alike; a few are CC0/public domain. Google Translate's voice comes from an unofficial endpoint β€” it works today, but its terms are a grey zone for shipping inside an app; it's here so you can hear the quality bar, flagged not recommended without your explicit call. Kokoro is an Apache-2.0 open model. Piper is the app's current open-source engine.

Pleco: its audio is licensed content locked inside the Pleco app β€” it can't be reused as a source. It's your reference standard only: the sound these candidates are trying to match.