Voices

For each voice, the given grades are intended to be estimates of the quality and quantity of its associated training data, both of which impact overall inference quality.

Subjectively, voices will sound better or worse to different people.

Target Quality

How high quality is the reference voice? This grade may be impacted by audio quality, artifacts, compression, & sample rate.
How well do the text labels match the audio? Text/audio misalignment (e.g. from hallucinations) will lower this grade.

Training Duration

How much audio was seen during training? Smaller durations result in a lower overall grade.
10 hours <= HH hours < 100 hours
1 hour <= H hours < 10 hours
10 minutes <= MM minutes < 100 minutes
1 minute <= M minutes < 10 minutes

American English 🇺🇸

misaki[en] lang_code='a' with en-us espeak-ng fallback

Name	Traits	Target Quality	Training Duration	Overall Grade	SHA256
af_alloy	🚺	B	MM minutes	C	`6d877149`
af_aoede	🚺	B	H hours	C+	`c03bd1a4`
af_bella	🚺🔥	A	HH hours	A-	`8cb64e02`
af_jessica	🚺	C	MM minutes	D	`cdfdccb8`
af_kore	🚺	B	H hours	C+	`8bfbc512`
af_nicole	🚺🎧	B	HH hours	B-	`c5561808`
af_nova	🚺	B	MM minutes	C	`e0233676`
af_river	🚺	C	MM minutes	D	`e149459b`
af_sarah	🚺	B	H hours	C+	`49bd364e`
af_sky	🚺	B	M minutes	C-	`c799548a`
am_adam	🚹	D	H hours	F+	`ced7e284`
am_echo	🚹	C	MM minutes	D	`8bcfdc85`
am_eric	🚹	C	MM minutes	D	`ada66f0e`
am_fenrir	🚹	B	H hours	C+	`98e507ec`
am_liam	🚹	C	MM minutes	D	`c8255075`
am_michael	🚹	B	H hours	C+	`9a443b79`
am_onyx	🚹	C	MM minutes	D	`e8452be1`
am_puck	🚹	B	H hours	C+	`dd1d8973`

British English 🇬🇧

misaki[en] lang_code='b' with en-gb espeak-ng fallback

Name	Traits	Target Quality	Training Duration	Overall Grade	SHA256
bf_alice	🚺	C	MM minutes	D	`d292651b`
bf_emma	🚺	B	HH hours	B-	`d0a423de`
bf_isabella	🚺	B	MM minutes	C	`cdd4c370`
bf_lily	🚺	C	MM minutes	D	`6e09c2e4`
bm_daniel	🚹	C	MM minutes	D	`fc3fce4e`
bm_fable	🚹	B	MM minutes	C	`d44935f3`
bm_george	🚹	B	MM minutes	C	`f1bc8122`
bm_lewis	🚹	C	H hours	D+	`b5204750`

French 🇫🇷

espeak-ng fr-fr
Total French training data: <11 hours

Name	Traits	Target Quality	Training Duration	Overall Grade	SHA256	CC BY
ff_siwis	🚺	B	<11 hours	B-	`8073bf2d`	SIWIS

Hindi 🇮🇳

espeak-ng hi
Total Hindi training data: H hours

Name	Traits	Target Quality	Training Duration	Overall Grade	SHA256
hf_alpha	🚺	B	MM minutes	C	`06906fe0`
hf_beta	🚺	B	MM minutes	C	`63c0a1a6`
hm_omega	🚹	B	MM minutes	C	`b55f02a8`
hm_psi	🚹	B	MM minutes	C	`2f0f055c`

Italian 🇮🇳

espeak-ng it
Total Italian training data: H hours

Name	Traits	Target Quality	Training Duration	Overall Grade	SHA256
if_sara	🚺	B	MM minutes	C	`6c0b253b`
im_nicola	🚹	B	MM minutes	C	`234ed066`

Japanese 🇯🇵

misaki[ja]
Total Japanese training data: H hours

Name	Traits	Target Quality	Training Duration	Overall Grade	SHA256	CC BY
jf_alpha	🚺	B	H hours	C+	`1bf4c9dc`
jf_gongitsune	🚺	B	MM minutes	C	`1b171917`	gongitsune
jf_nezumi	🚺	B	M minutes	C-	`d83f007a`	nezuminoyomeiri
jf_tebukuro	🚺	B	MM minutes	C	`0d691790`	tebukurowokaini
jm_kumo	🚹	B	M minutes	C-	`98340afd`	kumonoito

Mandarin Chinese 🇨🇳

misaki[zh]
Total Mandarin Chinese training data: H hours

Name	Traits	Target Quality	Training Duration	Overall Grade	SHA256
zf_xiaobei	🚺	C	MM minutes	D	`9b76be63`
zf_xiaoni	🚺	C	MM minutes	D	`95b49f16`
zf_xiaoxiao	🚺	C	MM minutes	D	`cfaf6f2d`
zf_xiaoyi	🚺	C	MM minutes	D	`b5235dba`
zm_yunjian	🚹	C	MM minutes	D	`76cbf8ba`
zm_yunxi	🚹	C	MM minutes	D	`dbe6e1ce`
zm_yunxia	🚹	C	MM minutes	D	`bb2b03b0`
zm_yunyang	🚹	C	MM minutes	D	`5238ac22`