This paper introduces an offline technique of recognizing handwritten Bengali sentences based on BiLSTM architecture and connectionist temporal classification (CTC) output layer. The traditional approach of detecting handwritten sentence recognition rises the computational complexity due to the difficulty of ...
Automatic speech recognition (ASR) tasks are resolved by end-to-end deep learning models, which benefits us by less preparation of raw data, and easier transformation between languages. We propose a novel end-to-end deep learning model architecture namely cascaded CNN-resBiLSTM-CTC. In the prop...
from tensorflow.keras.layers import Input, Embedding, Bidirectional, LSTM, CTC, CRF from tensorflow.keras.models import Model # 定义输入层 inputs = Input(shape=(max_len,)) # 使用BERT进行特征提取 embedding = Embedding(input_dim=vocab_size, output_dim=embed_dim)(inputs) # 使用BiLSTM处理BERT...
民航陆空通话语音识别BiLSTM网络模型
使用keras训练模型,用到了ctc损失函数,需要自定义损失函数如下: self.ctc_model.compile(loss={'ctc': lambda y_true, output: output}, optimizer=opt) 其中loss为自定义函数,使用字典{‘ctc': lambda y_true, output: output} 训练完模型后需要重载模型,如下: ...
我也遇到了，类似的问题。我是做车牌识别。简单ocr。RCNN + ctcloss。发现不加attention，transformer ...
类似的问题。我是做车牌识别。简单ocr。RCNN + ctcloss。发现不加attention，transformer 训练才收敛。
To enhance context processing and ensure accurate mapping of input sequences to output sequences, we combine Bidirectional Long Short Term Memory with the CTC loss function. We have utilized the GRID dataset to assess word-level metrics, including Word Error Rate (WER) and Word Recognition Rate ...
基于GRA-CEEMDAN-Bi L S T M的变压器 油中溶解气体浓度预测 專佳1，邛科\侯玉复、武晚蕊]，田复2,陈成3 (1..国网湖北省电力有限公司检修公司，湖北武汉43〇〇5〇; 2.南昌工程学院电气工程学院，江西南昌330099; 3.上海思源弘瑞自动化有限公司，上海200000)主商要：基于自适应嗓声完全集成经验模态分解...
ResNet、BiLSTM、TPS 和 Attn 的序列是来自 None-VGG-None-CTC 基础组合的模块最有效的升级顺序。这个顺序是相同的顺序 准确性记忆视角发现 RCNN、Attn、TPS、BiLSTM 和 ResNet 作为模块最有效的升级顺序,例如准确性记忆边界的顺序 (P1→P5)。有趣的是,时间模块的有效顺序与内存模块相反。模块的不同属性在实际...