audio audioduration (s) 0.85 7.89 | text stringlengths 12 107 | speaker stringclasses 1
value |
|---|---|---|
mafam ashidagi hourasi | spk_001 | |
ngarang wari ase website ta oina | spk_001 | |
hapchabani paba yadre haibirake | spk_001 | |
aduna ngashi page ta oina hapchabani | spk_001 | |
comment section da wari hanjinba happi | spk_001 | |
haiba uraroi haina thajei | spk_001 | |
wari asi mafam asidagi hourashi | spk_001 | |
maming ei actor natte | spk_001 | |
wari asi hingliba amasung | spk_001 | |
sikhraba amataga mari leinajade | spk_001 | |
wari asai eigini | spk_001 | |
ahanba wakhalda sagatchabani | spk_001 | |
wari ashi eigi ahanbani | spk_001 | |
maram aduna pariba miyamda | spk_001 | |
spelling soiba yaorabasu ngakpinaba | spk_001 | |
haijari support toubiu | spk_001 | |
pabung hougatlo haougatlo nacha nungshidrabo | spk_001 | |
ei lalle pabung ei ngashigi | spk_001 | |
taibang pan asida chatnariba | spk_001 | |
pabung na haibado elammagadi | spk_001 | |
ei asumna tourammoi | spk_001 | |
thadoi oak khongei kappi | spk_001 | |
chamna khalluba ei ngashidi | spk_001 | |
tingkhangi lambida leplare | spk_001 | |
ningthem masi pumnamaksi ngnani | spk_001 | |
nagni naphamda eina soidana | spk_001 | |
laman khumgani chahi manga gi matung | spk_001 | |
sir eigi ming korou ei M.A loijare | spk_001 | |
yaragadi chemistry gi oja se ei oijarage | spk_001 | |
korou gi wadu tabada oja duna hairaklammi | spk_001 | |
hoine adubu ahanba oina | spk_001 | |
hayeng class amurakti changba tabani | spk_001 | |
aduga ngi teaching style do yenglasi | spk_001 | |
experience tu yenglasi | spk_001 | |
aduga khanglani korou | spk_001 | |
wa ngangbada koiba leite machinda | spk_001 | |
hairaklammi sir adugidi ei angang | spk_001 | |
loinaba heida eikhoi leikai dasu | spk_001 | |
wa ngangba taba nungai haiduna | spk_001 | |
ngangbiya haina khnagnei | spk_001 | |
korou gi wadu tabada oja nokli nokli | spk_001 | |
aduga hairaklammi hoine hoine | spk_001 | |
hayeng taklaga khanglasi adudi | spk_001 | |
sir adudo leifamsidi houjikti | spk_001 | |
gari su phanglaroi khara thengkhre | spk_001 | |
band su leibanina ado mingbu | spk_001 | |
eigibudi rajen koue | spk_001 | |
ado ngi leiphamse houjikti hostel su | spk_001 | |
sagatpa loidribanina khara farak | spk_001 | |
tarani hoise ngasidi school gi | spk_001 | |
nakalsida leiriba yum saida leiro | spk_001 | |
sir eigidi amabu leiradi yareda | spk_001 | |
ei keisu kaiba leiteda | spk_001 | |
asumna wari touduna rajen na | spk_001 | |
korou bu yum aduda purakhi | spk_001 | |
ae korou yum asidi | spk_001 | |
khara motle ngashi khitanida | spk_001 | |
hayeng eina ngi leipham sinnida | spk_001 | |
sir ei keisu khanba leiteda | spk_001 | |
fare fare adudi sida leiroko | spk_001 | |
ei horen chak puraklage | spk_001 | |
yum aduda leihouri yum adu | spk_001 | |
mirang mirang ngakta ngairammi | spk_001 | |
asumna wari touraba matung | spk_001 | |
kasing chang chang duna yengli | spk_001 | |
mafam adu mei thakhibagi | spk_001 | |
uphul na khu youe | spk_001 | |
likli akaiba kaya ama tai | spk_001 | |
chatke hek toubaga nakanda | spk_001 | |
mallaba mei chaklaba dairy | spk_001 | |
ama tarammi adu urammi | spk_001 | |
ae sidi dairy nine padum pathoke | spk_001 | |
dairy adu faktokpada mamangda | spk_001 | |
wahei khara tharammi | spk_001 | |
khongfam ama soiba matamda | spk_001 | |
nupi gi punshi asi loirabani | spk_001 | |
lairaba migi awabasidi kananasu | spk_001 | |
mateng pangbiroi peisa haibase | spk_001 | |
hingbada changdraba yadaba | spk_001 | |
potsak amani lamai ama fat laona faktoke | spk_001 | |
kaka sigi guli se yaobara | spk_001 | |
amukta yengbiuba haina hanglammi | spk_001 | |
pharmacy famliba nupa aduna | spk_001 | |
hairaklammi ebemma yaoe sidi | spk_001 | |
thadoi na pibio haina hairammi | spk_001 | |
guli hapliba box adu thangthaduna | spk_001 | |
piraklammi ebemma sida leire | spk_001 | |
thadoina hanglammi lupa kayano haina | spk_001 | |
ebemma lupa lising amaga chamma tare | spk_001 | |
thadoi bag hangdoklubada peisa yaoramdre | spk_001 | |
thadoi humang bang laona kai | spk_001 | |
mahakki maong matoudu ubada | spk_001 | |
nupa aduna hanglaklammi ebemm keidoure | spk_001 | |
kaka ei peisa yaoramdre | spk_001 | |
ah karino hairisibu fajana amukta yengu | spk_001 | |
thiba yaba thire makhadasu tade | spk_001 | |
peisa yaodana guli du kamaina laougani | spk_001 | |
gulise thambirammo ei amuk louba lakchage | spk_001 | |
hoi ebemma thamjaramge | spk_001 | |
thadoi asum asum mapi erang chelaklammi | spk_001 |
End of preview. Expand in Data Studio
📣 Manipuri TTS Dataset (Meitei Mayek, Roman)
This dataset contains 1.1k high-quality speech samples in Manipuri (Meiteilon), recorded by a native speaker. It's ready for training TTS models like VITS, StyleTTS2, XTTS, and SpeechT5.
🧾 Structure
audio:.wavfile (16kHz, mono)text: Transcription in Romanized Manipurispeaker:spk_001(can be extended to multi-speaker)
🔊 Sample
| Audio | Text | Speaker |
|---|---|---|
| ▶️ | mafam ashidagi hourasi | spk_001 |
🛠️ Usage (Python)
from datasets import load_dataset
ds = load_dataset("DayanandaThokchom/MANIPUR-TTS-SAMPLE", split="train")
sample = ds[0]
print(sample["text"])
sample["audio"]["array"] # NumPy waveform
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