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audioduration (s)
4
14.9
source
stringclasses
1 value
bak
float32
3.64
4.25
sig
float32
2.65
3.81
ovrl
float32
2.34
3.62
duration
float32
4
14.9
aishell3
4.1708
3.7048
3.4281
4.966
aishell3
4.2186
3.6866
3.4635
4.8
aishell3
4.1605
3.5769
3.3185
9.889
aishell3
4.1924
3.6255
3.3963
9.379
aishell3
4.1752
3.5326
3.2787
5.906
aishell3
4.1684
3.5319
3.2699
6.338
aishell3
4.0805
3.58
3.3035
4.193
aishell3
3.8422
3.6173
3.2187
5.001
aishell3
3.8255
3.3044
2.9263
5.6
aishell3
4.0979
3.3129
3.0459
6.244
aishell3
3.8105
3.3357
2.9494
4.469
aishell3
3.9302
3.1392
2.8198
4.31
aishell3
4.0156
3.563
3.2527
5.461
aishell3
3.9357
3.3252
2.9747
6.78
aishell3
4.0221
3.6584
3.3312
4.5
aishell3
4.0466
3.5776
3.2728
5.417
aishell3
4.1846
3.7119
3.483
5.42
aishell3
4.1191
3.6392
3.3673
5.58
aishell3
3.9554
3.1527
2.8344
4.586
aishell3
4.0926
3.4045
3.1271
5.277
aishell3
4.1476
3.538
3.2975
12.685
aishell3
4.0983
3.4933
3.2313
5.686
aishell3
4.0921
3.3915
3.1205
14.859
aishell3
4.1213
3.2151
2.9677
13.16
aishell3
4.036
3.3735
3.0756
7.13
aishell3
3.9693
3.6316
3.2848
4.144
aishell3
3.9732
3.4284
3.1148
7.652
aishell3
4.1234
3.5521
3.2955
5.14
aishell3
3.9416
3.2464
2.9285
5.399
aishell3
4.0531
3.403
3.1275
4.913
aishell3
4.0724
3.4363
3.1725
4.744
aishell3
4.1516
3.6305
3.3817
4.657
aishell3
4.1198
3.5072
3.2551
4.914
aishell3
4.1705
3.5502
3.3149
4.788
aishell3
4.1523
3.6271
3.3859
5.133
aishell3
4.0954
3.5679
3.2898
5.36
aishell3
4.104
3.6006
3.3224
5.062
aishell3
4.1353
3.6101
3.3515
5.118
aishell3
4.0938
3.3713
3.0908
4.656
aishell3
4.1344
3.6495
3.3993
5.941
aishell3
4.0434
3.4514
3.1709
5.447
aishell3
3.9922
3.47
3.1668
5.584
aishell3
4.0706
3.4832
3.2053
5.777
aishell3
3.913
3.2216
2.8968
4.833
aishell3
4.0641
3.3325
3.0592
5.931
aishell3
3.7091
3.6227
3.1493
4.83
aishell3
4.064
3.7128
3.4093
4.83
aishell3
4.0231
3.5601
3.2489
5.248
aishell3
4.0452
3.4635
3.1816
6.555
aishell3
4.1057
3.4111
3.1598
6.728
aishell3
4.1389
3.5958
3.3314
11.91
aishell3
3.8438
3.6179
3.2055
5.991
aishell3
4.0882
3.6929
3.392
5.619
aishell3
3.748
3.6279
3.1758
6.641
aishell3
4.1056
3.4391
3.1737
4.115
aishell3
4.0322
3.4278
3.1495
4.195
aishell3
4.0863
3.4464
3.1785
4.382
aishell3
3.9768
3.3684
3.0608
4.289
aishell3
4.0902
3.2843
3.02
4.24
aishell3
4.0433
3.5398
3.2509
4.462
aishell3
3.7462
3.6669
3.2071
4.133
aishell3
3.8651
3.6878
3.3018
4.226
aishell3
3.8784
3.4727
3.0982
4.226
aishell3
4.055
3.6119
3.309
4.551
aishell3
4.0686
3.6219
3.3167
5.201
aishell3
4.1465
3.524
3.2819
4.61
aishell3
4.1287
3.5786
3.326
5.41
aishell3
3.8508
3.5948
3.1735
5.387
aishell3
4.0521
3.4524
3.1585
10.681
aishell3
4.169
3.7045
3.4772
4.592
aishell3
4.0072
3.4698
3.1756
4.55
aishell3
4.1195
3.5524
3.3014
4.876
aishell3
3.837
3.5063
3.1158
4.876
aishell3
4.1518
3.6587
3.4203
6.29
aishell3
4.0702
3.5969
3.3178
6.44
aishell3
4.155
3.5611
3.3259
6.59
aishell3
4.1362
3.6195
3.3687
4.07
aishell3
4.0851
3.6103
3.3505
4.22
aishell3
4.1103
3.5069
3.2567
4.13
aishell3
4.0292
3.5745
3.2628
4.01
aishell3
3.9155
3.5317
3.1554
4.226
aishell3
3.8648
3.4286
3.0793
4.087
aishell3
3.9919
3.5389
3.2112
4.505
aishell3
4.1778
3.6956
3.4507
4.923
aishell3
4.1624
3.7437
3.4922
4.69
aishell3
4.0887
3.6265
3.3528
4.83
aishell3
4.0584
3.4698
3.1924
4.876
aishell3
4.1219
3.679
3.4109
4.69
aishell3
4.1309
3.6223
3.3649
4.969
aishell3
4.1605
3.6953
3.4579
5.155
aishell3
4.0287
3.4312
3.1284
4.969
aishell3
3.9255
3.3259
2.9856
4.551
aishell3
3.7486
3.2989
2.8944
4.923
aishell3
3.6722
3.1826
2.7576
5.155
aishell3
4.0753
3.4385
3.1609
5.155
aishell3
3.8361
3.1429
2.7838
4.551
aishell3
4.0956
3.4654
3.1874
5.433
aishell3
3.6973
3.3019
2.8526
4.551
aishell3
3.8104
3.1814
2.8185
5.619
aishell3
3.9156
3.3628
3.0154
5.666
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TTS-Clean44k

A multilingual pool of verified-clean, wideband speech for training and evaluating speech restoration / text-to-speech (TTS) models. Every utterance is independently checked on two axes and stored as parquet with its per-utterance quality scores attached:

  1. Native sample rate ≥ 44.1 kHz — measured per file with ffprobe, never trusting the source's advertised rate. Anything below 44.1 kHz is dropped.
  2. DNSMOS P.835 bak ≥ 3.644 — the background-noise MOS from the DNSMOS P.835 model. Only genuinely clean recordings pass.

The dataset was assembled as the clean teacher pool for Sidon call-centre speech restoration (the decoder is trained to reproduce its teacher, so the teacher must be genuinely clean and full-band), but it is broadly useful as a filtered multilingual TTS corpus.

Composition

28 language/source configs · 119,950 utterances · 208.7 h · utterance-weighted DNSMOS bak 4.036 / sig 3.484 / ovrl 3.203.

# config utts hours bak sig ovrl
1 hifitts 19,447 30.0 4.026 3.533 3.247
2 uk_ireland_en 14,925 28.0 4.077 3.572 3.313
3 cv_zhcn 8,948 15.4 3.952 3.466 3.145
4 basque 6,907 13.5 4.043 3.521 3.230
5 galician 5,343 10.0 4.055 3.521 3.248
6 catalan 4,018 9.0 3.977 3.433 3.127
7 peruvian_es 4,991 8.8 4.052 3.423 3.154
8 south_african 5,240 8.3 3.977 3.460 3.149
9 kannada 3,542 7.6 4.045 3.436 3.165
10 gujarati 3,789 7.4 4.079 3.489 3.226
11 argentinian_es 4,362 6.8 4.077 3.520 3.246
12 colombian_es 4,105 6.8 4.052 3.404 3.144
13 chilean_es 3,755 6.6 4.056 3.424 3.160
14 tamil 3,633 6.4 4.027 3.300 3.035
15 nigerian_en 2,687 5.1 4.102 3.548 3.299
16 javanese 2,906 4.2 4.004 3.467 3.163
17 malayalam 2,470 4.1 4.034 3.367 3.095
18 aishell3 2,814 4.1 4.047 3.513 3.218
19 telugu 2,517 4.0 4.053 3.358 3.098
20 venezuelan_es 2,466 4.0 4.057 3.473 3.208
21 burmese 2,071 3.6 4.020 3.495 3.203
22 sundanese 2,116 3.5 3.999 3.443 3.140
23 khmer 2,098 3.2 4.092 3.448 3.202
24 marathi 1,400 2.8 4.088 3.433 3.186
25 yoruba 1,464 2.2 4.035 3.476 3.178
26 nepali 1,157 2.0 4.000 3.496 3.183
27 puertorico_es 516 0.9 4.050 3.443 3.169
28 cv_ta 263 0.4 3.855 3.116 2.780

Schema

Each config is a single train split with columns:

column type description
audio Audio(sampling_rate=48000) mono waveform, decoded to 48 kHz
source string source/config name
bak float32 DNSMOS P.835 background-noise MOS (≥ 3.644 for every row)
sig float32 DNSMOS P.835 signal MOS
ovrl float32 DNSMOS P.835 overall MOS
duration float32 clip length in seconds

Long recordings are chunked to ≤ 15 s; short utterances (≥ 4 s) are kept whole.

Usage

from datasets import load_dataset

# load one config (source)
ds = load_dataset("Scicom-intl/TTS-Clean44k", "uk_ireland_en", split="train")
print(ds[0]["audio"], ds[0]["bak"], ds[0]["duration"])

# or stream a large config
ds = load_dataset("Scicom-intl/TTS-Clean44k", "hifitts", split="train", streaming=True)

Sources

  • OpenSLR high-quality TTS — Javanese (41), Sundanese (44), Tamil (65), Telugu (66), Malayalam (63), Marathi (64), Khmer (42), Nepali (43), Gujarati (78), Kannada (79), Burmese (80).
  • OpenSLR crowdsourced — Argentinian/Chilean/Colombian/Peruvian/Puerto-Rican/Venezuelan Spanish (61/71/72/73/74/75), Catalan (69), Basque (76), Galician (77), Yoruba (86), Nigerian English (70), South-African English (32), UK & Ireland English (83).
  • AISHELL-3 (Mandarin), Hi-Fi TTS (English, capped at 30 h for balance), Common Voice (Mandarin zh-CN, Tamil ta).

What the gates rejected

The verification is strict on purpose — sources that only claim to be high-fidelity were dropped:

  • Common Voice id (Indonesian) and yue (Cantonese) — excluded entirely; every clip was below 44.1 kHz (Cantonese was uniformly 32 kHz).
  • VCTK — omitted here only because its available mirror was download-throttled, not for quality.

Nothing below the sample-rate or DNSMOS bar is included.

Licensing

Audio is redistributed from the upstream corpora listed above; each retains its original license (OpenSLR corpora are variously CC BY / CC BY-SA / CC0, AISHELL-3 is research-use, Hi-Fi TTS is CC BY 4.0, Common Voice is CC0). Consult the corresponding source before commercial use. The DNSMOS scores and the 48 kHz re-encoding are provided as-is.

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