SPEX / Dept. of Language and Speech University of Nijmegen Erasmusplein 1 NL-6525 HT Nijmegen The Netherlands SUBJECT: Validation German FDB SpeechDat corpus AUTHORS: Henk van den Heuvel, Eric Sanders VERSION: 2.0 DATE : 29/01/1999 The speech databases made within the SpeechDat project were validated by SPEX, Leidschendam, the Netherlands, to assess their compliance with the SpeechDat format and content specifications, as documented in Deliverables 1.3.1, 1.3.2 and 1.3.3 of the project. The validation results of the German Fixed Network SpeechDat database (4000 speakers) are contained in this document. This database was validated and approved by the SpeechDat Consortium. In the validation procedure we systematically check a list of validation criteria for a range of subjects. In the following sections we will evaluate these criteria one by one. Validation results that call for attention because of deviations from the SpeechDat specifications are marked by =>. They can be easily extracted/'grepped' in this way. ---> Note: actions taken to correct errors found during the validation by SPEX are included in this document. They are marked by ---> so they can be easily extracted/'grepped' in this way. ---> The following subjects were validated: 1 DOCUMENTATION 2 DATABASE STRUCTURE, CONTENTS AND FILE NAMES 3 ITEMS 4 SAMPLED DATA FILES 5 ANNOTATION FILES 6 LEXICON 7 SPEAKERS 8 RECORDING PLATFORM 9 TRANSCRIPTION The document is concluded by 10 SUMMARY ==================================================================== 1. DOCUMENTATION - File DESIGN.DOC; & deliverables SD131 and SD132 can be handy OK - Language of doc file: English OK - Contact person: name, address, affiliation OK - Number of CDs OK, section 1 - Contents of each CD OK - The directory structure of the CDs OK, section 1.3 - Description of all the items in the corpus OK, sections 1.2 and 3. However, => Files of item code Y1-5 are not well described. => A subsection in section 3 should be included for this. => Section 3.10 refers to FDB1000, which should be FDB4000 => Compensation of slight shortage of I1 items (see section 3) => should be mentioned in section 3.2.1, with a remark that compensatory => material can be found in B1. ---> section 3.14 describes these items ---> A note added to 3.2.1 - Prompting . linguistic specification (and motivation) for the prompting material (in case of additional optional items) OK, section 3 (header) for Y type items, but too concise. . connection of sheet items to item numbers on CD OK, section 1.2 . sheet example OK, reference in section 8.2 . items must be spread over the sheet to prevent list effects (e.g. three yes/no questions immediately after another are not allowed) OK, section 2.3 - Naming conventions for directories and files OK, section 1 - Speaker recruitment OK, section 2.2 - Speaker demographics . which regions, how many of each . motivation for selection of regions . which age groups, how many of each . sexes: males, females, also children?; how many of each. . each call is made by a unique speaker OK, section 4 - Analysis of frequency of occurrence of the sub-word units represented in the phonetically rich sentences (either of phones, biphones, triphones) . minimum number of phone examples = #speakers/10 OK, section 3.11 - Analysis of frequency of occurrence of the sub-word units represented in the phonetically rich words (either of phones, biphones, triphones) . minimum number of phone examples = #speakers/5 OK, section 3.13 - Recording platform and telephone link decription (which part is digital) OK, section 2.1. No information about telephone network. - Signal characteristics (number of bits per sample; bandwidth; coding type; compression procedures) OK, section 1.1 - The format of the speech files (A-law, 8 bit, 8 kHz, uncompressed) OK, section 1.1 - The format of the annotation files (SAM label files) OK, sections 1.1 and 1.4 - Annotation . procedure . quality assurance . character set used for annotation (transcription) (ISO-8859) . annotations symbols for non-speech acoustic events must be mentioned at least for [Filled_Pause] [Speaker_Noise] [Stationary_noise] [Intermittent_noise] . list of symbols used to denote word truncations, mispronunciations and not understandable speech . case sensitivity of transcriptions OK, section 2.4 => Reference to TRANSCRP.PDF & TRANSCRP.PS is missing in section 2.4 ---> added to 2.4 - Lexicon information . Procedures to obtain phonemic forms from orthographic input (lexicon generation and lay out) . (Reference to) SAMPA symbols used . case sensitivity of entries (matching the transcriptions) OK, section 5 - Only one spelling of each word is allowed. Therefore a list of normalised spellings for words with alternative spellings should be included (SPELLALT.DOC). Otherwise a statement why such a list is not necessary. => A comment to normalisation of spellings was not found ---> comment added to lexicon section - Indication of how many of the files were double checked by the producer together with percentage of detected errors OK, section 2.4, but this is only for transcriptions. - Reference to the validation report VALREP.TXT => A reference to the validation report (VALREP.TXT) is missing => in DESIGN.DOC andf README.TXT ---> reference has been added to DESIGN.DOC and README.TXT -Other remarks: => DESIGN.DOC, section 2.2: "DER SPIELGEL" should read "DER SPIEGEL" ---> corrected ========================================================================== 2. DATABASE STRUCTURE CONTENTS AND FILE NAMES - Directory / subdirectory conventions Format of directory tree should be \\\ . data base: defined as <#> can be FIXED, MOBIL, VERIF <#> is 0 for SpeechDat(M) and 1 for SpeechDat is the ISO two-letter code for the language . block : defined as BLOCK where is a progressive number from 00 to 99. Block numbers are unique over all CDs. They correspond to the first two digits of below. . session: defined as SES where is the session code also appearing in file name => Two illegal O2 files with wrong session number were found: \FIXED1DE\BLOCK28\SES2855\A12885O2.DEA \FIXED1DE\BLOCK29\SES2964\A12963O2.DEA ---> removed these files => The test and training set files are not in the INDEX => directory but in the table directory ---> test and training set are now in INDEX - All text files should be in MS-DOS format ( at line ends OK => The test and training set files are not in DOS format => The SAMPSTAT.TXT file is not in DOS format ---> corrected - A README.TXT file should be in the root describing all (documentation) files on the CD-ROM. => From README.TXT it is not clear that each .DEO file in a session directory => is the label file to the corresponding speech file (.DEA) ---> this is now said explicitly - A file containing a shortened version of the volume name (11 chars max.) should be in the root directory. The name of this file is DISK.ID. This file supplies the volume label to UNIX systems that cannot read the physical volume label. Example of contents: FIXED1EN_01. => The DISK.ID file is in \FIXED1DE on CD01 ---> corrected - A copyright statement should be present in the file COPYRIGH.TXT (root) => The COPYRIGH.TXT file is in \FIXED1DE on CD01 ---> corrected - Documentation should be in \\DOC . DESIGN.DOC . TRANSCRIP.DOC (optional) . SPELLALT.DOC (optional) . SAMPALEX.PS . ISO8859<1,2,7>.PS . SUMMARY.TXT . SAMPSTAT.TXT OK - The contents list (CONTENTS.LST) is in \\INDEX OK - Tables should be in \\TABLE . SPEAKER.TBL . LEXICON.TBL . REC_COND.TBL (optional) . SESSION.TBL (optional) OK, apart from REC_COND.TBL all table files are present - Index files (optional) should be in \\INDEX OK - The index files (if present) obey the nomenclature .LST where e.g. A1ENN3.LST (see below for item_code) Not used - Prompt sheet files (optional) should be in \\PROMPT OK - All sessions indicated in the documentation SUMMARY.TXT are present on the CDs OK - File naming conventions All file names should obey the following pattern: DDNNNNCC.LLF DD : database identification code For SpeechDat : A1 = fixed net, B1 = mobile, C1 = speaker verification NNNN : session code 0000 to 9999 CC : item code; first character is item type identifier, second character is item number LL : ISO-639 language code (with extensions) F : speech file type A is for A-law O is for Orthographic label file OK - Correct item codes should be used: A1-3/6: common application words B1 : sequence of isolated digits C1 : prompt sheet number C2 : telephone number C3 : credit card number C4 : PIN code D1-3 : dates E1 : application word phrase I1 : isolated digit L1-3 : spelled words M1 : money amount N1 : natural number O1 : spontaneous name O2 : city of call/birth O3 : most frequent city name O5 : most frequent company/agency name O7 : forename & surname Q1-2 : yes/no questions S1-9 : phonetically rich sentences T1 : time of day T2 : time phrase W1-4 : phonetically rich words OK - NNNN in filenames is not in conflict with BLOCK and SES numbers in pathname OK - Contents lowest level subdirectories should be of one call only OK - Empty (i.e. zero-length) files are not permitted OK - Missing items per speaker Check with documentation (SUMMARY.TXT) OK - File match: For each label file there must be one speech file and vice versa. => There is no speech file for the following label files: A11782O2.DEO A12885O2.DEO A12963O2.DEO But the last two are in the wrong directory ---> corrected => There are no label files matching to the following speech files: A12885O2.DEA A12963O2.DEA A13823Y2.DEA A13874A2.DEA A13874Y2.DEA A13923O2.DEA A13923Y2.DEA and in the directory SES3974 there are only speech files ---> corrected - Part of the corpus is designed for training and a smaller part for testing. => The test and training set files are not in the INDEX => directory but in the table directory => The test and training set files are not in DOS format ---> corrected The 500 calls selected for testing are all >from existing calls The remaining 3500 calls for training exist and do not overlap with the testset. - All table files, and index files should report the field names as the first row in the files using tabs as in the data records following. => The header line with this information is missing in: => SPEAKER.TBL, LEXICON.TBL, SESSION.TBL ---> corrected - The contents of the database as given in CONTENTS.LST should comprise . CD-ROM volume name (VOL:) . full pathname (DIR:) . speech file name (SRC:) . corpus code (CCD:) . corpus repetition (CRP:) . speaker code (SCD:) . speaker sex (SEX:) . speaker age (AGE:) . speaker accent (ACC:) . orthographic transcription of uttered item (LBO:) The first line should be a header specifying the information in each record. This file must be supplied as an ASCII TAB delimited file. => Speaker code is missing in CONTENTS.LST ---> corrected - The contents of the SUMMARY.TXT files should comprise: . The full directory name where speech and label files are to be found . the session number . a string of typically N codes. Each item present is represented by its code. If the item is missing, a '--' should appear. . recording date . recording time of first item . optional comment text . all these fields are separated by spaces . Note: The contents of the SUMMARY.TXT file are not CD-dependent => RET in SUMMARY.TXT does not contain seconds ---> corrected ====================================================================== 3. ITEMS - 1 isolated digit (code I1) . read or prompted OK - 1 sequence of 10 isolated digit (code B1) . each sequence must include all digits . optional are hash and star OK, star and hash were used - 4 connected digits (code C1-4) - 4-6 digit number to identify the prompt sheet . read - ~10 digit telephone number . read . local numbers . inclusion of GSM numbers recommended - 14-16 digit credit card number . read . set of 150 . if there is a checksum then formula must be provided - 6 digit PIN code . read . set of 150 . ~30 digits per call are required . digits must appear numerically on the sheet, not as words OK - 1 natural number (code N1) . read . provided as numbers (numerically) . numbers must be < 1,000,000 . decimal numbers only allowed for additional natural numbers OK - 1 money amount (code M1) . read . currency words should be included . mixture of small amount including decimals and large amounts not including decimals OK - 3 spelled words (code L1-3) . L1 is spontaneous name spelling linked to O1 . others are read . equal balance of all vocabulary letters artificial words can be used to enforce this balance . average length at least 7 letters . may include names, cities and other frequently spelled items . should include equivalents of : A-Z, accent words, CAPITAL, SMALL, UPPER-CASE, LOWER-CASE, DOUBLE, APOSTROPHE, HYPHEN OK Average length of spelt items is 8.5 letter per item - 1 time of day (code T1) . spontaneous OK - 1 time phrase (code T2) . read . analogue form . equal balance of all words . should include equivalents of : AM/PM, HALF/QUARTER PAST/TO, NOON, MIDNIGHT, MORNING, AFTERNOON, EVENING, NIGHT, TODAY, YESTERDAY, TOMORROW OK - 1 date (code D1) . spontaneous OK - 1 date (code D2) . read, wordstyle . analogue form . covering all weekdays and months, ordinals and year expressions (also exceeding 2000) OK Each month is represented by some 300 examples each weekday is represented by some 300 examples - 1 relative date (code D3) . read . analogue . should include forms such as TODAY, TOMORROW, THE DAY AFTER TOMORROW, THE NEXT DAY, THE DAY AFTER THAT, NEXT WEEK, GOOD FRIDAY, EASTER MONDAY, etc. OK Most of the dates have an explicite date attached to them - 2 yes/no questions (code Q1-2) . spontaneous, not prompted . one question should elicit (predominantly) 'no' answers; the other (predominantly) 'yes' answers . also fuzzy answers should be envisaged OK - 3/6 common application words (code A1-3/6) . read . set of 30 should be used, 25 of which are fixed for all . minimum number of examples of each word = #speakers/10 (this is a soft target) . 6 are needed, but only 3 for 4000+ FDBs OK, all words are recorded => The frequency of the application words is not very well => distributed. It varies between 300 and 570. - 1 application word phrase (code E1) . application word is embedded in phrase . read or spontaneous OK - 9 phonetically rich sentences (code S1-9) . read . minimum number of phone examples = #speakers/10 OK All phones appear 400 times or more except for the rare phones: /Z,a~,o~,dS/ - 4 phonetically rich words (code W1-4) . read . minimum number of phone examples = #speakers/10 The following phones have less than 400 realisations /pf,tS,Z,o~,a~/ These are all rare phones. /pf/ and /tS/ can be synthesised by their monophone components. - 5 directory assistance names (code O1-7) . 1 spontaneous name (e.g. forename) . 1 spontaneous city name . 1 read city name (from list of 500 most frequent) . 1 read company/agency name (from list of 500 most frequent) . 1 read proper name, fore- and surname (>from list of 150 SDB names) OK 489 different city names were counted, instead of 500 491 different city names were counted, instead of 500 The following completeness checks are performed on obligatory SpeechDat items only: 1. Structurally missing items All obligatory SpeechDat(II) items are recorded. Additional optional items are: - Y1: speaker gender - Y3: birthdate - Y4: speaker region - Y5: date 2. Incidentally missing items a. files that are not there 3524 files were found missing, according to the following distribution over the items: 70 A1 48 A2 29 A3 57 B1 21 C1 136 C2 25 C3 32 C4 29 D1 33 D2 13 D3 30 E1 238 I1 37 L1 55 L2 77 L3 50 M1 93 N1 174 O1 154 O2 124 O3 113 O5 72 O7 69 Q1 43 Q2 108 S1 98 S2 117 S3 97 S4 106 S5 93 S6 120 S7 89 S8 76 S9 45 T1 38 T2 107 W1 126 W2 109 W3 112 W4 > 57 Y1 42 Y3 96 Y4 66 Y5 b. files with empty transcriptions in the LBO label field (effectively missing files) We found 0 files that have only noise symbols and/or ** in their transcriptions. c. corrupted speech files If we regard utterances which have only truncated or mispronounced words as corrupted files, and merge these with the effectively missing files under b. then the following distribution emerges : 70 A1 48 A2 29 A3 57 B1 21 C1 136 C2 25 C3 32 C4 29 D1 33 D2 13 D3 30 E1 238 I1 37 L1 55 L2 77 L3 50 M1 93 N1 174 O1 157 O2 124 O3 113 O5 74 O7 69 Q1 43 Q2 108 S1 98 S2 117 S3 97 S4 107 S5 93 S6 120 S7 89 S8 76 S9 45 T1 38 T2 108 W1 126 W2 109 W3 113 W4 57 Y1 42 Y3 96 Y4 66 Y5 (This will not be used to reject or approve a database but it will be supplied as supplementary information.) d. files containing truncation and mispronunciation marks (*,**,~ are counted in the transcriptions of the individual items to get an idea of distorted speech data. This will not be used to reject or approve a database but it will be supplied as supplementary information.) We found 9955 transcriptions with at least one *, or **, or ~, according to the following distribution over the items : A1: 37 A2: 13 A3: 14 B1: 166 C1: 262 C2: 123 C3: 162 C4: 88 D1: 154 D2: 204 D3: 212 E1: 66 I1: 28 L1: 381 L2: 291 L3: 374 M1: 329 N1: 228 O1: 61 O2: 245 O3: 46 O5: 64 O7: 230 Q1: 71 Q2: 104 S1: 393 S2: 431 S3: 594 S4: 481 S5: 547 S6: 522 S7: 600 S8: 569 S9: 548 T1: 152 T2: 320 W1: 51 W2: 25 W3: 33 W4: 37 Y1: 91 Y3: 202 Y4: 79 Y5: 327 3. Overall conclusion SpeechDat has the following criteria for missing items: . At least 95% of the files of each mandatory item (corpus code) must be present. . As missing files are counted: absent files, and files containing non-speech events only. . There will be no further comparison of prompt and transcription text in order to decide if a file is effectively missing. As a consequence: If there is some speech in the transcription, then the file will NOT be considered missing, even if it is in fact useless. For a database of 4000 calls a maximum of 5% * 4000 = 200 files per item may be missing. For the decision of completeness of an item the distribution given in 2b above should be used. It is clear from this distribution I1 effectively misses 200 or more files: => I1: 238 samples missing (5.95%) However, it is accepted that sufficient compensation of this slight deficiency is found in the isolated digit strings with corpus code B1. =========================================================================== 4. SAMPLED DATA FILES 1 Coding . A-law, 8 bit, 8 kHz, no compression OK 2 Sample distribution Several sample statistics are generated: File length, clipping rate, mean sample value, Signal-to-Noise Ratio (SNR). Statistics were generated on file level by the producer of the database, using SPEX software. The results were delivered to SPEX. SPEX compiled histograms on the basis these results. These histograms are presented below, both on file level and on directory (call) level. The histograms are presented as they are and not further interpreted by SPEX. On the basis of these data the user of the database should be able to decide which acoustic quality is still acceptable for the application at hand. Statistics on the acoustics of individual speech files can be retrieved >from file \DOC\SAMPSTAT.TXT. The columns in SAMPSTAT.TXT have the following meaning: file max min #samples cliprate mean snr A11001C2.ENA:16384:-13056:80000: 0.00: -4.28: 35.89 2.1 File length We calculated the length of the files in seconds in order to trace spurious recordings if files were of extraordinary length. Duration distribution over all items: Length (s) #Occurrences 2 - 3 : 15459 3 - 4 : 45442 4 - 5 : 30675 5 - 6 : 17239 6 - 7 : 17208 7 - 8 : 13683 8 - 9 : 12632 9 - 10 : 7096 10 - 11 : 5577 11 - 12 : 2516 12 - 13 : 1568 13 - 14 : 917 14 - 15 : 502 15 - 16 : 1960 Duration distribution over calls/directories: Length (s) #Occurrences 3 - 4 : 2 4 - 5 : 598 5 - 6 : 2612 6 - 7 : 662 7 - 8 : 50 8 - 9 : 76 2.2 min-max samples We provide a histogram with clipping ratios, The clipping ratio is defined as the proportion of samples in a file that is equal to the maximum/minimum value, divided by all samples in the file. The histogram, then, is an overview of how many files were found in a set of clipping rate intervals. Clip distribution for all items: Clipping Occurrences rate (in %) 0.0 - 0.1 : 14647 0.1 - 0.2 : 1925 0.2 - 0.3 : 773 0.3 - 0.4 : 285 0.4 - 0.5 : 153 0.5 - 0.6 : 111 0.6 - 0.7 : 61 0.7 - 0.8 : 31 0.8 - 0.9 : 40 0.9 - 1.0 : 20 1.0 - 1.1 : 11 1.1 - 1.2 : 16 1.2 - 1.3 : 7 1.3 - 1.4 : 7 1.4 - 1.5 : 4 1.5 - 1.6 : 3 1.6 - 1.7 : 1 1.7 - 1.8 : 4 1.8 - 1.9 : 1 1.9 - 2.0 : 1 2.0 - 2.1 : 1 2.1 - 2.2 : 2 2.2 - 2.3 : 2 2.4 - 2.5 : 1 Number of files with absolute maximum < 32256: 154367 Clip distribution over calls/directories: Clipping Occurrences rate (in %) 0.0 - 0.1 : 1500 0.1 - 0.2 : 50 0.2 - 0.3 : 15 0.3 - 0.4 : 2 0.4 - 0.5 : 1 0.5 - 0.6 : 2 0.7 - 0.8 : 2 0.9 - 1.0 : 1 Number of directories with absolute maximum < 32256: 2427 None of the calls has an average clip ratio over 1.0% 2.3 Mean values We computed the mean sample value of each item in each call. We provide a histogram with mean values below. The histogram, then, is an overview of how many files were found in a set of mean sample value intervals. This overview can be used to trace files with large DC-offsets. Mean distribution over all items: Mean Occurrences -5730 - -5720 : 1 -700 - -690 : 1 -390 - -380 : 6 -380 - -370 : 82 -370 - -360 : 18 -360 - -350 : 32 -350 - -340 : 33 -340 - -330 : 5 -330 - -320 : 14 -320 - -310 : 331 -310 - -300 : 52 -300 - -290 : 167 -290 - -280 : 42 -280 - -270 : 133 -270 - -260 : 271 -260 - -250 : 147 -250 - -240 : 110 -240 - -230 : 234 -230 - -220 : 54 -220 - -210 : 44 -210 - -200 : 93 -200 - -190 : 138 -190 - -180 : 101 -180 - -170 : 57 -170 - -160 : 4 -160 - -150 : 1 -150 - -140 : 1 -140 - -130 : 41 -130 - -120 : 12 -120 - -110 : 30 -110 - -100 : 76 -100 - -90 : 103 -90 - -80 : 101 -80 - -70 : 170 -70 - -60 : 206 -60 - -50 : 405 -50 - -40 : 612 -40 - -30 : 1324 -30 - -20 : 3352 -20 - -10 : 9477 -10 - 0 : 36884 0 - 10 : 108646 10 - 20 : 5450 20 - 30 : 1305 30 - 40 : 665 40 - 50 : 338 50 - 60 : 380 60 - 70 : 38 70 - 80 : 258 80 - 90 : 16 90 - 100 : 5 100 - 110 : 90 110 - 120 : 48 120 - 130 : 91 130 - 140 : 1 180 - 190 : 89 190 - 200 : 1 200 - 210 : 74 210 - 220 : 14 Mean distribution over calls/directories: Mean Occurrences -380 - -370 : 2 -370 - -360 : 1 -350 - -340 : 1 -320 - -310 : 8 -310 - -300 : 1 -300 - -290 : 4 -290 - -280 : 1 -280 - -270 : 3 -270 - -260 : 6 -260 - -250 : 4 -250 - -240 : 2 -240 - -230 : 5 -230 - -220 : 2 -220 - -210 : 1 -210 - -200 : 2 -200 - -190 : 3 -190 - -180 : 4 -180 - -170 : 1 -140 - -130 : 1 -120 - -110 : 1 -110 - -100 : 1 -100 - -90 : 1 -90 - -80 : 2 -80 - -70 : 3 -70 - -60 : 3 -60 - -50 : 5 -50 - -40 : 13 -40 - -30 : 32 -30 - -20 : 71 -20 - -10 : 251 -10 - 0 : 856 0 - 10 : 2520 10 - 20 : 120 20 - 30 : 27 30 - 40 : 14 40 - 50 : 4 50 - 60 : 8 70 - 80 : 7 100 - 110 : 2 110 - 120 : 1 120 - 130 : 2 180 - 190 : 2 200 - 210 : 2 2.4 Signal to Noise Ratio We split each signal file into contiguous windows of 10 ms and computed the Mean Square (energy) in each window. The mean sample value over the complete file was subtracted from each individual sample value before MS was computed. 5% of the windows that contained the lowest energy were assumed to contain line noise. In this way the signal to noise ratio could be calculated for each file by dividing the mean energy over all windows by the mean energy of the 5% sample mentioned above. The result was multiplied by 10*log for scaling. SNR distribution over all items: SNR occurrences 0 - 5 : 16 5 - 10 : 51 10 - 15 : 144 15 - 20 : 381 20 - 25 : 1652 25 - 30 : 6472 30 - 35 : 19804 35 - 40 : 36561 40 - 45 : 49111 45 - 50 : 35665 50 - 55 : 16183 55 - 60 : 4536 60 - 65 : 1055 65 - 70 : 312 70 - 75 : 160 75 - 80 : 115 80 - 85 : 91 85 - 90 : 87 90 - 95 : 24 95 - 100 : 29 100 - 105 : 6 105 - 110 : 6 110 - 115 : 5 115 - 120 : 4 120 - 125 : 1 125 - 130 : 3 SNR distribution over calls/directories: SNR occurrences 5 - 10 : 1 10 - 15 : 2 15 - 20 : 4 20 - 25 : 23 25 - 30 : 107 30 - 35 : 411 35 - 40 : 892 40 - 45 : 1272 45 - 50 : 871 50 - 55 : 308 55 - 60 : 87 60 - 65 : 11 65 - 70 : 5 70 - 75 : 2 75 - 80 : 2 80 - 85 : 2 One call has an average SNR below 10 dB: SES5557 This call has a strong buzz, but the speech is OK. =========================================================================== 5. ANNOTATION FILE - Each line must be delimited by OK - Mandatory (SAM) mnemonics: LHD: SAM, 5.10 DBN: SPEECHDAT__Fixed_Network VOL: FIXED1_ SES: DIR: SRC: CCD: CRP: < = corpus repetition, empty> REP: RED: RET: SAM: 8000 < = sampling freq.> BEG: END: SNB: 1 < = number of bytes per sample> SBF: < = sample byte order, meaningless with single bytes> SSB: 8 < = number of significant bits per sample> QNT: A-LAW < = quantisation> SCD: SEX: M/F/UNKNOWN AGE: ! mnemo is not SAM ACC: ! mnemo is not SAM REG: ENV: LBD: LBR: , , [gain], [minimum value], [maximum value], LBO: , [centre sample], , EXT: 80 chars on one line> ELF: - Optional (SAM) mnemonics (may be omitted or left empty) TYP: orthographic TXF: CMT: NCH: 1 < = number of channels recorded> ARC: ! mnemo is not SAM SHT: ! mnemo is not SAM CMP: EXP: SYS: DAT: SPA: PHM: ! mnemo is not SAM NET: PSTN < = network> ! mnemo is not SAM DSC: < = discontinuity marker> EDU: ! mnemo is not SAM SOC: ! mnemo is not SAM HLT: TRD: RCC: ASS: ! mnemo is not SAM - Order restrictions: . LHD and TYP are first . LBR and LBO come after LBD . ELF is end of file keyword OK - All mnemonics should be SAM mnemonics or explicitly defined in documentation OK - No illegal mnemonics used OK - There are no mnemonics missing OK => LBO is missing in all label files because (a second) LBR mnemonic was used. ---> corrected; now there are LBR and LBO SAM labels and label fields - All files must contain the same mnemonics. This holds as well for the optional mnemonics. OK - No illegal field values should appear => RET does not contain seconds For NET the value PSTN was used instead of FIXED - No line may exceed 80 chars OK - Each lowest subdirectory does not refer to multiple sheet ids. OK - For spontaneous speech LBR should contain a mnemonic word. D1 : L1 : O1 : O2 : Q1 : or Q2 : or T1 :