Upload README.MD

README.MD

@@ -0,0 +1,152 @@
+---
+annotations_creators:
+  - expert-generated
+license: cdla-permissive-1.0
+language_creators:
+- expert-generated
+size_categories:
+- 100M<n<100G
+language:
+  - en
+task_categories:
+- automatic-speech-recognition
+- voice-activity-detection
+multilinguality:
+  - monolingual
+task_ids: []
+pretty_name: dipco
+tags:
+- speech-recognition
+---
+
+# DipCo - Dinner Party Corpus, Interspeech 2019
+
+(Zenodo Link)[https://zenodo.org/record/8122551]
+
+- Contact person(s)
+Maas, Roland; Hoffmeister, Björn
+
+- Distributor(s)
+ Yang, Chao-Han Huck
+
+
+The ‘DipCo’ data corpus is a new data set that was publicly released by Amazon to help speech scientists address the difficult problem of separating speech signals in reverberant rooms with multiple speakers.
+
+The corpus was created with the assistance of Amazon volunteers, who simulated the dinner-party scenario in the lab. We conducted multiple sessions, each involving four participants. At the beginning of each session, participants served themselves food from a buffet table. Most of the session took place at a dining table, and at fixed points in several sessions, we piped music into the room, to reproduce a noise source that will be common in real-world environments.
+
+Each participant was outfitted with a headset microphone, which captured a clear, speaker-specific signal. Also dispersed around the room were five devices with seven microphones each, which fed audio signals directly to an administrator’s laptop. In each session, music playback started at a given time mark. The close-talk recordings were segmented and separately transcribed.
+
+## Sessions
+
+Each session contains the close talk recordings of 4 participants and the far-field recordings from the 5 devices. The following name conventions are used:
+
+* sessions have a ```<session_id>``` label denoted by ```S01, S02, S03, ...``
+* participants have a ```<speaker_id>``` label denoted by ```P01, P02, P03, P04, ...```
+* devices have a ```<device_id>``` label  denoted by ```U01, U02, U03, U04, U05```
+* array microphone have a ```<channel_id>``` label denoted by ```CH1, CH2, CH3, CH4, CH5, CH6, CH7```
+
+We currently have the following sessions:
+
+| **Session** | **Participants**               | **Hours**  **[hh:mm]** | **#Utts** | **Music start [hh:mm:ss]** |
+| ----------- | ------------------------------ | ---------------------- | --------- | -------------------------- |
+| S01         | P01, **P02**, **P03**, P04     | 00:47                  | 903       | 00:38:52                   |
+| S02         | **P05**, **P06**, **P07**, P08 | 00:30                  | 448       | 00:19:30                   |
+| S03         | **P09**, **P10**, **P11**, P12 | 00:46                  | 1128      | 00:33:45                   |
+| S04         | **P13**, P14,   **P15**, P16   | 00:45                  | 1294      | 00:23:25                   |
+| S05         | **P17**, **P18**, **P19**, P20 | 00:45                  | 1012      | 00:31:15                   |
+| S06         | **P21**, P22, **P23**, **P24** | 00:20                  | 604       | 00:06:17                   |
+| S07         | **P21**, P22, **P23**, **P24** | 00:26                  | 632       | 00:10:05                   |
+| S08         | **P25**, P26, P27, P28         | 00:15                  | 352       | 00:01:02                   |
+| S09         | P29, **P30**, P31, **P32**     | 00:22                  | 505       | 00:12:18                   |
+| S10         | P29, **P30**, P31, **P32**     | 00:20                  | 432       | 00:07:10                   |
+The sessions have been split into a development and evaluation set as follows:
+
+| **Dataset** | **Sessions**            | **Hours**   [**hh:mm**] | **#Utts** |
+| ----------- | ----------------------- | ----------------------- | --------- |
+| Dev         | S02, S04, S05, S09, S10 | 02:43                   | 3691      |
+| Eval        | S01, S03, S06, S07, S08 | 02:36                   | 3619      |
+
+The DiPCo data set has the following directory structure:
+```bash
+DiPCo/
+├── audio	
+│    ├── dev		
+│    └── eval	
+└── transcriptions	
+      ├── dev		
+      └── eval	
+```
+
+## Audio
+
+The audio data is converted into WAV format with a sample rate of 16kHz and 16-bit precision. The close-talk recordings were made by monaural microphone and contain a single channel. The far-field recordings of all 5 devices were microphone array recordings and contain 7 raw audio channels. 
+
+The WAV file name convention is as follows:
+
+* close talk recording of session ```<session_id>``` and participant ```<speaker_id>```
+	* ```<session_id>_<speaker_id>.wav```, e.g. ```S01_P03.wav```
+* farfield recording of microphone ```<channel_id>``` of session ```<session_id>``` and device ```<device_id>```  
+  * ```<session_id>_<device_id>.<channel_id>.wav```, e.g. ```S02_U3.CH1.wav``` 
+
+
+## Transcriptions
+
+Per session, a JSON format transcription file ```<session_id>.json``` has been provided. The JSON files contains for each transcribed utterance the following metadata:
+
+* Session ID ("session_id")
+
+* Speaker ID ("speaker_id")
+
+  * Gender ("gender_id")
+  * Mother Tongue ("mother_tongue")
+  * Nativeness ("nativeness")
+
+* Transcription ("words")
+
+* Start time of utterance ("start_time")
+	* The close-talk microphone recording of the speaker (```close-talk```)
+	* The farfield microphone array recordings of devices with ```<device_id>``` label
+	
+* End time ("end_time")
+
+* Reference signal that was used transcribing the audio ("ref") 
+
+The following is an example annotation of one utterance in a JSON file:
+
+```json
+    {
+      "start_time": {
+            "U01": "00:02:12.79",
+            "U02": "00:02:12.79",
+            "U03": "00:02:12.79",
+            "U04": "00:02:12.79",
+            "U05": "00:02:12.79",
+            "close-talk": "00:02:12.79"
+        },
+      	"end_time": {
+            "U01": "00:02:14.84",
+            "U02": "00:02:14.84",
+            "U03": "00:02:14.84",
+            "U04": "00:02:14.84",
+            "U05": "00:02:14.84",
+            "close-talk": "00:02:14.84"
+        },
+        "gender": "male",
+        "mother_tongue": "U.S. English",
+        "nativeness": "native",
+        "ref": "close-talk",
+        "session_id": "S02",
+        "speaker_id": "P05",
+        "words": "[noise] how do you like the food"
+    },
+```
+
+Transcriptions include the following tags: 
+
+- [noise] noise made by the speaker (coughing, lip smacking, clearing throat, breathing, etc.) 
+- [unintelligible] speech was not well understood by transcriber 
+- [laugh] participant laughing
+
+## License Summary
+
+The DiPCo data set has been released under the CDLA-Permissive license. See the LICENSE file.