Datasets:
Tasks:
Automatic Speech Recognition
Formats:
parquet
Languages:
Lushai
Size:
100K - 1M
DOI:
License:
audio audio | path string | language string | duration float64 |
|---|---|---|---|
data/Falam_23305.wav | Falam | 8.064 | |
data/Falam_10987.wav | Falam | 9.984 | |
data/Falam_02055.wav | Falam | 9.984 | |
data/Falam_22545.wav | Falam | 7.68 | |
data/Falam_22937.wav | Falam | 9.728 | |
data/Falam_10252.wav | Falam | 9.152 | |
data/Falam_02499.wav | Falam | 8.544 | |
data/Falam_19919.wav | Falam | 9.344 | |
data/Falam_02084.wav | Falam | 7.616 | |
data/Falam_22233.wav | Falam | 9.536 | |
data/Falam_10524.wav | Falam | 9.504 | |
data/Falam_10956.wav | Falam | 8.928 | |
data/Falam_02723.wav | Falam | 8.96 | |
data/Falam_22594.wav | Falam | 8.896 | |
data/Falam_10283.wav | Falam | 8.64 | |
data/Falam_11364.wav | Falam | 8.128 | |
data/Falam_23473.wav | Falam | 7.808 | |
data/Falam_16772.wav | Falam | 8.224 | |
data/Falam_23801.wav | Falam | 9.312 | |
data/Falam_14848.wav | Falam | 8.8 | |
data/Falam_03163.wav | Falam | 7.36 | |
data/Falam_12271.wav | Falam | 9.312 | |
data/Falam_17695.wav | Falam | 9.344 | |
data/Falam_20914.wav | Falam | 9.888 | |
data/Falam_24065.wav | Falam | 9.92 | |
data/Falam_20566.wav | Falam | 9.248 | |
data/Falam_17288.wav | Falam | 9.92 | |
data/Falam_00076.wav | Falam | 9.76 | |
data/Falam_05728.wav | Falam | 7.584 | |
data/Falam_01191.wav | Falam | 8.544 | |
data/Falam_21326.wav | Falam | 9.088 | |
data/Falam_13843.wav | Falam | 8.224 | |
data/Falam_13431.wav | Falam | 9.088 | |
data/Falam_24478.wav | Falam | 8.448 | |
data/Falam_04168.wav | Falam | 9.088 | |
data/Falam_22189.wav | Falam | 9.568 | |
data/Falam_01636.wav | Falam | 6.912 | |
data/Falam_21481.wav | Falam | 9.536 | |
data/Falam_07812.wav | Falam | 9.408 | |
data/Falam_13396.wav | Falam | 7.968 | |
data/Falam_23012.wav | Falam | 7.776 | |
data/Falam_11705.wav | Falam | 5.664 | |
data/Falam_06989.wav | Falam | 9.12 | |
data/Falam_03970.wav | Falam | 9.888 | |
data/Falam_03502.wav | Falam | 9.12 | |
data/Falam_02897.wav | Falam | 9.856 | |
data/Falam_10145.wav | Falam | 8.672 | |
data/Falam_22652.wav | Falam | 9.344 | |
data/Falam_02342.wav | Falam | 8.352 | |
data/Falam_01982.wav | Falam | 8.16 | |
data/Falam_24019.wav | Falam | 9.568 | |
data/Falam_13050.wav | Falam | 9.088 | |
data/Falam_21747.wav | Falam | 9.376 | |
data/Falam_01257.wav | Falam | 8.128 | |
data/Falam_04509.wav | Falam | 8 | |
data/Falam_09489.wav | Falam | 8.928 | |
data/Falam_20107.wav | Falam | 8.096 | |
data/Falam_12610.wav | Falam | 9.088 | |
data/Falam_05349.wav | Falam | 9.056 | |
data/Falam_00417.wav | Falam | 8.896 | |
data/Falam_19600.wav | Falam | 8.8 | |
data/Falam_00865.wav | Falam | 6.656 | |
data/Falam_02607.wav | Falam | 7.488 | |
data/Falam_07159.wav | Falam | 9.216 | |
data/Falam_19339.wav | Falam | 7.2 | |
data/Falam_10872.wav | Falam | 8.512 | |
data/Falam_05335.wav | Falam | 9.6 | |
data/Falam_10400.wav | Falam | 8.96 | |
data/Falam_22317.wav | Falam | 9.92 | |
data/Falam_10139.wav | Falam | 8.288 | |
data/Falam_11995.wav | Falam | 8.736 | |
data/Falam_06719.wav | Falam | 9.92 | |
data/Falam_09352.wav | Falam | 7.904 | |
data/Falam_14214.wav | Falam | 9.92 | |
data/Falam_03047.wav | Falam | 9.152 | |
data/Falam_08605.wav | Falam | 8.864 | |
data/Falam_07682.wav | Falam | 7.584 | |
data/Falam_01064.wav | Falam | 9.248 | |
data/Falam_11938.wav | Falam | 9.504 | |
data/Falam_23925.wav | Falam | 9.696 | |
data/Falam_04662.wav | Falam | 9.408 | |
data/Falam_19345.wav | Falam | 8.8 | |
data/Falam_00183.wav | Falam | 9.728 | |
data/Falam_19394.wav | Falam | 8.64 | |
data/Falam_23557.wav | Falam | 8.672 | |
data/Falam_05785.wav | Falam | 8.704 | |
data/Falam_15322.wav | Falam | 8.032 | |
data/Falam_20334.wav | Falam | 9.568 | |
data/Falam_07653.wav | Falam | 9.408 | |
data/Falam_11240.wav | Falam | 8.896 | |
data/Falam_12909.wav | Falam | 9.728 | |
data/Falam_19890.wav | Falam | 8.704 | |
data/Falam_12423.wav | Falam | 7.744 | |
data/Falam_15454.wav | Falam | 8.864 | |
data/Falam_18579.wav | Falam | 9.568 | |
data/Falam_17225.wav | Falam | 9.6 | |
data/Falam_07125.wav | Falam | 8.608 | |
data/Falam_12851.wav | Falam | 8.416 | |
data/Falam_15826.wav | Falam | 8.832 | |
data/Falam_12880.wav | Falam | 8.48 |
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Disclaimer / Notice: Details for these are in Peer Review and publications of the paper will be made available soon for more details.
Dataset Description
The MizoSpeech is an audio corpus designed for unsupervised pre-training and linguistic research on the Mizo language and its associated dialects. It encompasses 761,053 .wav audio recordings across 10 distinct dialects within the Kuki-Chin-Mizo branch of the Tibeto-Burman family.
This dataset is distributed in Parquet format, split into ~500 MB shards.
- Language(s): Falam, Gangte, Hmar, Lai, Lushai, Mara, Paite, Ralte, Vaiphei, Zou
Repository Structure
The primary dataset repository consists entirely of processed data:
/data— Contains the entire dataset serialized intoparquetformat, split into approximately 500 MB shards (e.g.,mizospeech-00000-of-00408.parquet). The raw audio bytes are securely embedded within these parquet chunks alongside their corresponding metadata, removing the need to manage thousands of raw.wavfiles locally while facilitating high-throughput streaming and loading.
Data Fields
| Field Name | Type | Description |
|---|---|---|
audio |
AudioFeature |
A dictionary containing the decoded audio waveform. Includes the internal path string, the decoded numeric array, and the sampling_rate. |
path |
string |
The explicit directory path mapping to the original file structure (e.g., data/Falam_00001.wav). |
language |
string |
The specific Mizo dialect spoken in the audio recording (Falam, Gangte, Hmar, Lai, Lushai, Mara, Paite, Ralte, Vaiphei, Zou). |
duration |
float32 |
The total duration of the audio clip in seconds. Highly useful for filtering extremely long or short clips during training. |
Usage and Pre-processing
from datasets import load_dataset
dataset = load_dataset("andrewbawitlung/MizoSpeech", split="mizospeech")
Dataset Statistics
| Dialect | Number of Utterances | Total Audio Duration (Hours) |
|---|---|---|
| Lushai | 425,794 | 1,048.34 |
| Hmar | 118,833 | 276.43 |
| Lai | 107,289 | 264.37 |
| Paite | 53,162 | 126.89 |
| Falam | 24,923 | 62.02 |
| Vaiphei | 15,806 | 39.66 |
| Mara | 9,111 | 22.73 |
| Gangte | 5,428 | 13.71 |
| Ralte | 492 | 1.22 |
| Zou | 215 | 0.51 |
| Total | 761,053 | 1,855.88 |
Audio Specifications
- Format:
.wavembedded in Parquet - Sampling Rate: 16,000 Hz
- Channels: Mono (1)
- Bit Depth: 16-bit
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