Expressive Speech: Annotated Sources
Collection
Annotated English/German speech. Repository-view hours overlap; audio and annotation rights vary by source. See each dataset card. • 4 items • Updated
Dataset Preview
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1405, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 982, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
mp3 audio | __key__ string | __url__ string |
|---|---|---|
accc_acting_challenge_1_seed00_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed00_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed00_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed01_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed01_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed01_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed02_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed02_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed02_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed03_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed03_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed03_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed04_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed04_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed04_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed05_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed05_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed05_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed06_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed06_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed06_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed07_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed07_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed07_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed08_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed08_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed08_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed09_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed09_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed09_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed10_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed10_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed10_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed11_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed11_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed11_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed12_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed12_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed12_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed13_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed13_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed13_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed14_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed14_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed14_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed15_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed15_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed15_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed16_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed16_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed16_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed17_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed17_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed17_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed18_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed18_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed18_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed19_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed19_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed19_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed20_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed20_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed20_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed21_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed21_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed21_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed22_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed22_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed22_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed23_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed23_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed23_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed24_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed24_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_1_seed24_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed00_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed00_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed00_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed01_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed01_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed01_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed02_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed02_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed02_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed03_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed03_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed03_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed04_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed04_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed04_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed05_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed05_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed05_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed06_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed06_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed06_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed07_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed07_part1 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed07_part2 | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar | |
accc_acting_challenge_de_1_seed08_full | hf://datasets/laion/voice-acting-data-annotated@ba40ca8a10e4b014e487bedf93cb755045079bb3/data/batch_000000.tar |
End of preview.
Voice Acting Data - Annotated
Post-processed version of laion/voice-acting-data.
Processing Pipeline
- RE-USE Speech Enhancement (nvidia/RE-USE) - Applied to non-singing samples for noise reduction
- LavaSR Super Resolution (YatharthS/LavaSR) - Audio bandwidth extension to 48kHz
- Whisper Turbo ASR - Full transcript with word-level timestamps
- Scene Split - Audio split at CUT TO: transition into two parts (Part 1 + Part 2)
- VoiceCLAP Large Embeddings (laion/voiceclap-large) - 3584-dim voice embeddings per part
Purpose
Each sample contains two emotional scenes from the same speaker separated by "CUT TO:". By splitting into parts, we create paired clips of the same voice identity with different emotions, enabling training of voice acting systems that maintain speaker consistency across emotional transitions.
Format
- MP3 files: 256kbps mono 48kHz
- Annotation JSON per sample with ASR, timestamps, embeddings, and metadata
- Packed in tar files matching the source dataset structure
Files per sample
{prompt_id}_seed{NN}_part1.mp3- Scene 1 audio{prompt_id}_seed{NN}_part2.mp3- Scene 2 audio{prompt_id}_seed{NN}.json- Full annotations
Models Used
- nvidia/RE-USE - Speech enhancement
- YatharthS/LavaSR - Super resolution
- openai/whisper turbo - ASR
- laion/voiceclap-large - Voice embeddings
License
CC BY 4.0.
The audio in this dataset was generated with a voice-acting AI model.
- Downloads last month
- 383