| <page> | |
| <title>hữu cơ</title> | |
| <ns>0</ns> | |
| <id>1348</id> | |
| <revision> | |
| <id>1855625</id> | |
| <parentid>1590581</parentid> | |
| <timestamp>2017-05-07T03:26:00Z</timestamp> | |
| <contributor> | |
| <username>HydrizBot</username> |
| sudo apt-get install openssh-server | |
| sudo systemctl enable ssh | |
| sudo systemctl start ssh | |
| import pytorch_lightning as pl | |
| import numpy as np | |
| import torch | |
| from torch.nn import MSELoss | |
| from torch.optim import Adam | |
| from torch.utils.data import DataLoader, Dataset | |
| import torch.nn as nn | |
| class SimpleDataset(Dataset): |
| 1. | |
| Error: | |
| java.io.IOException: java.lang.IllegalArgumentException: bucketId out of range: -1 | |
| Solution: | |
| set hive.fetch.task.conversion=none; | |
| 2. | |
| Error: | |
| java.io.IOException: [Error 30022]: Must use HiveInputFormat to read ACID tables |
| {"delivery_detail":{"total_order":0,"rating":{"total_review":0,"avg":0,"display_total_review":"0","app_link":"foody://foody.vn?action=reviewlist&id=786024"},"is_support_booking":false,"city_id":218,"cuisines":["Vietnam"],"restaurant_id":786024,"district_id":22,"contract_type":2,"location_url":"ha-noi","is_quality_merchant":false,"is_city_alert":true,"service_type":1,"confirm_language":null,"user_favorite_count":2,"delivery_categories":[76,5],"is_now_delivery":true,"delivery":{"promotions":[{"promo_code":"FREESHIP","discount_value_type":2,"min_order_value":"0đ","merchant_type":2,"custom_condition":[{"content":"30/09/2019 23:59","label":"Expiry date"},{"content":"Not apply for Pick-up order","label":""},{"content":"8 times/ user","label":"Monthly usage limit"},{"content":"Not applied for Self-delivery Merchants","label":""},{"content":"Đà Nẵng, TP. HCM, Hà Nội","label":"City"},{"content":"Only applied to shipping fee","label":""}],"promotion_type":2,"promotion_id":8960883,"title":{"message":"<p><span style=\"fo |
| http://www.mediafire.com/file/x7uxnbkvsa5vkid/20150928csxwlu.zip/file |
| { | |
| "query": { | |
| "bool": { | |
| "must": { | |
| "match": { | |
| "page": "137458806799130" | |
| } | |
| } | |
| } | |
| } |
| /home/anhv/anaconda3/envs/automatic_speech_recognition/bin/python /home/anhv/PycharmProjects/undertheseanlp/automatic_speech_recognition/egs/vivos/train.py --kaldi_folder /home/anhv/PycharmProjects/kaldi-trunk --corpus_folder /home/anhv/PycharmProjects/undertheseanlp/automatic_speech_recognition/data/vivos/corpus --nj 10 | |
| Init Kaldi Speech Recognition in uts_734 folder | |
| ===== PREPARING ACOUSTIC DATA ===== | |
| ===== FEATURES EXTRACTION ===== | |
| steps/make_mfcc.sh --nj 10 --cmd run.pl data/train exp/make_mfcc/train mfcc | |
| utils/validate_data_dir.sh: Successfully validated data-directory data/train |
$ python experiment/vivos/predict.py \
> --wav /home/anhv/PycharmProjects/undertheseanlp/automatic_speech_recognition/experiment/vivos/test/VIVOSDEV01_R003.wav \
> --kaldi_folder /home/anhv/PycharmProjects/kaldi-trunk \
> --model_path /home/anhv/PycharmProjects/kaldi-trunk/egs/uts_898/exp/tri3a
Error log
| def windows(data, window_size): | |
| start = 0 | |
| while start < len(data): | |
| yield int(start), int(start + window_size) | |
| start += (window_size / 2) | |
| def extract_features(filepath, label, bands=60, frames=41): | |
| window_size = 512 * (frames - 1) | |
| log_specgrams = [] | |
| labels = [] |