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我已經創建了所有需要的文件，並將它們放在正確的文件夾層次結構中。創建配置文件後，我根據需要修改它，然後開始訓練，但如在終端出現錯誤：獅身人面像中的聲學模型訓練錯誤
Sphinxtrain path: /usr/local/lib/sphinxtrain
Sphinxtrain binaries path: /usr/local/libexec/sphinxtrain
Running the training
MODULE: 000 Computing feature from audio files
Extracting features from segments starting at (part 1 of 1)
Extracting features from segments starting at (part 1 of 1)
Feature extraction is done
MODULE: 00 verify training files
Phase 1: Checking to see if the dict and filler dict agrees with the phonelist file.
WARNING: The phonelist (/home/anonymus/workspace/Sphinx-Test/Alphabets/tutorial/alphabets/etc/alphabets.phone) does not define the phone SIL (required!)
Found 6 words using 10 phones
WARNING: This phone (SIL) occurs in the dictionary (/home/anonymus/workspace/Sphinx-Test/Alphabets/tutorial/alphabets/etc/alphabets.dic), but not in the phonelist (/home/anonymus/workspace/Sphinx-Test/Alphabets/tutorial/alphabets/etc/alphabets.phone)
Phase 2: Checking to make sure there are not duplicate entries in the dictionary
Phase 3: Check general format for the fileids file; utterance length (must be positive); files exist
Phase 4: Checking number of lines in the transcript file should match lines in fileids file
Phase 5: Determine amount of training data, see if n_tied_states seems reasonable.
Estimated Total Hours Training: 0.000816666666666667
This is a small amount of data, no comment at this time
Phase 6: Checking that all the words in the transcript are in the dictionary
Words in dictionary: 3
Words in filler dictionary: 3
Phase 7: Checking that all the phones in the transcript are in the phonelist, and all phones in the phonelist appear at least once
MODULE: 0000 train grapheme-to-phoneme model
Skipped (set $CFG_G2P_MODEL = 'yes' to enable)
MODULE: 01 Train LDA transformation
Skipped (set $CFG_LDA_MLLT = 'yes' to enable)
MODULE: 02 Train MLLT transformation
Skipped (set $CFG_LDA_MLLT = 'yes' to enable)
MODULE: 05 Vector Quantization
Skipped for continuous models
MODULE: 10 Training Context Independent models for forced alignment and VTLN
Skipped: $ST::CFG_FORCEDALIGN set to 'no' in sphinx_train.cfg
Skipped: $ST::CFG_VTLN set to 'no' in sphinx_train.cfg
MODULE: 11 Force-aligning transcripts
Skipped: $ST::CFG_FORCEDALIGN set to 'no' in sphinx_train.cfg
MODULE: 12 Force-aligning data for VTLN
Skipped: $ST::CFG_VTLN set to 'no' in sphinx_train.cfg
MODULE: 20 Training Context Independent models
Phase 1: Cleaning up directories:
accumulator...logs...qmanager...models...
Phase 2: Flat initialize
Phase 3: Forward-Backward
Baum welch starting for 1 Gaussian(s), iteration: 1 (1 of 1)
0%
Only 0 parts of 1 of Baum Welch were successfully completed
Parts 1 failed to run!
Training failed in iteration 1
MODULE: 30 Training Context Dependent models
Phase 1: Cleaning up directories:
accumulator...logs...qmanager...
Phase 2: Initialization
This step had 1 ERROR messages and 0 WARNING messages. Please check the log file for details.
Phase 3: Forward-Backward
Baum welch starting for iteration: 1 (1 of 1)
0%
This step had 2 ERROR messages and 2 WARNING messages. Please check the log file for details.
Only 0 parts of 1 of Baum Welch were successfully completed
Parts 1 failed to run!
Training failed in iteration 1
MODULE: 40 Build Trees
Phase 1: Cleaning up old log files...
Phase 2: Make Questions
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
Phase 3: Tree building
Processing each phone with each state
AE 0
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
AE 1
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
AE 2
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
L 0
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
L 1
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
L 2
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
AH 0
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
AH 1
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
AH 2
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
F 0
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
F 1
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
F 2
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
B 0
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
B 1
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
B 2
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
IY 0
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
IY 1
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
IY 2
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
JH 0
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
JH 1
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
JH 2
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
EY 0
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
EY 1
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
EY 2
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
M 0
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
M 1
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
M 2
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
MODULE: 45 Prune Trees
Phase 1: Tree Pruning
This step had 1 ERROR messages and 0 WARNING messages. Please check the log file for details.
Phase 2: State Tying
This step had 1 ERROR messages and 0 WARNING messages. Please check the log file for details.
MODULE: 50 Training Context dependent models
Phase 1: Cleaning up directories:
accumulator...logs...qmanager...
Phase 2: Copy CI to CD initialize
This step had 1 ERROR messages and 0 WARNING messages. Please check the log file for details.
Phase 3: Forward-Backward
Baum welch starting for 1 Gaussian(s), iteration: 1 (1 of 1)
0%
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
Only 0 parts of 1 of Baum Welch were successfully completed
Parts 1 failed to run!
Training failed in iteration 1
MODULE: 60 Lattice Generation
Skipped: $ST::CFG_MMIE set to 'no' in sphinx_train.cfg
MODULE: 61 Lattice Pruning
Skipped: $ST::CFG_MMIE set to 'no' in sphinx_train.cfg
MODULE: 62 Lattice Format Conversion
Skipped: $ST::CFG_MMIE set to 'no' in sphinx_train.cfg
MODULE: 65 MMIE Training
Skipped: $ST::CFG_MMIE set to 'no' in sphinx_train.cfg
MODULE: 90 deleted interpolation
Skipped for continuous models
MODULE: DECODE Decoding using models previously trained
Decoding 3 segments starting at 0 (part 1 of 1)
0%
This step had 2 ERROR messages and 0 WARNING messages. Please check the log file for details.
Aligning results to find error rate
word_align.pl failed with error code 65280 at /usr/local/lib/sphinxtrain/scripts/decode/slave.pl line 173.
請幫我解決這個問題。
細節其實我正在爲阿拉伯字母的聲學模型。所以錄音不能達到一個小時。那麼我應該怎麼做呢？ – coding4fun 2014-09-03 15:24:32
您可以多次錄製字母。必須有1小時的音頻。 – 2014-09-03 15:43:10
因此每個字母在一個文件中重複一個小時，並且阿拉伯語有28個字母，這意味着需要28個小時的錄音時間，對嗎？或者它應該是一個文件中的所有字母？ – coding4fun 2014-09-03 15:46:44