Mixer 6 Speech
|Item Name:||Mixer 6 Speech|
|Author(s):||Linda Brandschain, David Graff, Kevin Walker, Christopher Cieri|
|LDC Catalog No.:||LDC2013S03|
|Release Date:||August 19, 2013|
|Sample Type:||1-channel pcm|
|Data Source(s):||microphone speech, telephone speech|
|Project(s):||MIXER, NIST SRE|
|Online Documentation:||LDC2013S03 Documents|
|Licensing Instructions:||Subscription & Standard Members, and Non-Members|
|Citation:||Brandschain, Linda, et al. Mixer 6 Speech LDC2013S03. Web Download. Philadelphia: Linguistic Data Consortium, 2013.|
Mixer 6 Speech was developed by the Linguistic Data Consortium (LDC) and comprises 15,863 hours of audio recordings of interviews, transcript readings and conversational telephone speech involving 594 distinct native English speakers. This material was collected by LDC in 2009 and 2010 as part of the Mixer project, specifically phase 6, the focus of which was on native American English speakers local to the Philadelphia area.
The speech data in this release was collected by LDC at its Human Subjects Collection facilities in Philadelphia. The telephone collection protocol was similar to other LDC telephone studies (e.g., Switchboard-2 Phase III Audio - LDC2002S06): recruited speakers were connected through a robot operator to carry on casual conversations lasting up to 10 minutes, usually about a daily topic announced by the robot operator at the start of the call. The raw digital audio content for each call side was captured as a separate channel, and each full conversation was presented as a 2-channel interleaved audio file, with 8000 samples/second and u-law sample encoding. Each speaker was asked to complete 15 calls.
The multi-microphone portion of the collection utilized 14 distinct microphones installed identically in two mutli-channel audio recording rooms at LDC. Each session was guided by collection staff using prompting and recording software to conduct the following activities: (1) repeat questions (less than one minute), (2) informal conversation (typically 15 minutes), (3) transcript reading (approximately 15 minutes) and (4) telephone call (generally 10 minutes). Speakers recorded up to three 45-minute sessions on distinct days. The 14 channels were recorded synchronously into separate single-channel files, using 16-bit PCM sample encoding at 16000 samples/second.
Certain demographic information about the speakers was collected, including date of birth, level of education, native language, other language capability, place of birth, place of residence and occupation.
The recordings in this corpus were used in NIST Speaker Recognition Evaluation (SRE) test sets for 2010. Researchers interested in applying those benchmark test sets should consult the respective NIST Evaluation Plans for guidelines on allowable training data for those tests.
The collection contains 4,410 recordings made via the public telephone network and 1,425 sessions of multiple microphone recordings in office-room settings. The telephone recordings are presented as 8-KHz 2-channel NIST SPHERE files, and the microphone recordings are 16-KHz 1-channel flac/ms-wav files. All audio files names indicate the date and time when the recording began, along with other identifying information, as follows:
- yyyymmdd is the year, month and date of recording.
- hrmnsc is the hour, minute and second when recording began
- callid is a unique, incremental number assigned to each call
- room is either LDC or HRM, indicating which office was used
- subjid is a numeric identifier assigned to the speaker
When the flac files are uncompressed, they become ms-wav/RIFF files (flac compression does not presently support SPHERE file format).
The telephone audio is presented in SPHERE format because (a) this is consistent with other telephone audio releases from LDC, and (b) flac does not support ulaw sample encoding. The current release of the open-source SoX utility is able to handle both formats as input. Other utilities are available for both flac and SPHERE formats.
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Additional Licensing Instructions
This 'members-only' corpus is available to current members who can request the data at the listed reduced-license fee. Contact email@example.com for information about becoming a member.