Search Results - "Bahar, Parnia"

A Comparison of Transformer and LSTM Encoder Decoder Models for ASR by Zeyer, Albert, Bahar, Parnia, Irie, Kazuki, Schluter, Ralf, Ney, Hermann

“…We present competitive results using a Transformer encoder-decoder-attention model for end-to-end speech recognition needing less training time compared to a…”
Get full text

A Comparative Study on End-to-End Speech to Text Translation by Bahar, Parnia, Bieschke, Tobias, Ney, Hermann

“…Recent advances in deep learning show that end-to-end speech to text translation model is a promising approach to direct the speech translation field. In this…”
Get full text

Tight Integrated End-to-End Training for Cascaded Speech Translation by Bahar, Parnia, Bieschke, Tobias, Schluter, Ralf, Ney, Hermann

“…A cascaded speech translation model relies on discrete and non-differentiable transcription, which provides a supervision signal from the source side and helps…”
Get full text

On Using 2D Sequence-to-sequence Models for Speech Recognition by Bahar, Parnia, Zeyer, Albert, Schluter, Ralf, Ney, Hermann

“…Attention-based sequence-to-sequence models have shown promising results in automatic speech recognition. Using these architectures, one-dimensional input and…”
Get full text

Exploring A Zero-Order Direct Hmm Based on Latent Attention for Automatic Speech Recognition by Bahar, Parnia, Makarov, Nikita, Zeyer, Albert, Schluter, Ralf, Ney, Hermann

“…In this paper, we study a simple yet elegant latent variable attention model for automatic speech recognition (ASR) which enables an integration of attention…”
Get full text

Farsi/Arabic Handwritten from Machine-Printed Words Discrimination by Mozaffari, S., Bahar, P.

“…Separating handwritten texts from machine-printed materials is a desirable task towards a general document analysis system. In this paper, we proposed a simple…”
Get full text

Take the Hint: Improving Arabic Diacritization with Partially-Diacritized Text by Bahar, Parnia, Di Gangi, Mattia, Rossenbach, Nick, Zeineldeen, Mohammad

“…Automatic Arabic diacritization is useful in many applications, ranging from reading support for language learners to accurate pronunciation predictor for…”
Get full text

Two-Way Neural Machine Translation: A Proof of Concept for Bidirectional Translation Modeling Using a Two-Dimensional Grid by Bahar, Parnia, Brix, Christopher, Ney, Hermann

“…Neural translation models have proven to be effective in capturing sufficient information from a source sentence and generating a high-quality target sentence…”
Get full text

Two-Way Neural Machine Translation: A Proof of Concept for Bidirectional Translation Modeling using a Two-Dimensional Grid by Bahar, Parnia, Brix, Christopher, Ney, Hermann

“…Neural translation models have proven to be effective in capturing sufficient information from a source sentence and generating a high-quality target sentence…”
Get full text

Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture by Brix, Christopher, Bahar, Parnia, Ney, Hermann

“…Sparse models require less memory for storage and enable a faster inference by reducing the necessary number of FLOPs. This is relevant both for time-critical…”
Get full text

A Comparative Study on End-to-end Speech to Text Translation by Bahar, Parnia, Bieschke, Tobias, Ney, Hermann

“…Recent advances in deep learning show that end-to-end speech to text translation model is a promising approach to direct the speech translation field. In this…”
Get full text

Tight Integrated End-to-End Training for Cascaded Speech Translation by Bahar, Parnia, Bieschke, Tobias, Schlüter, Ralf, Ney, Hermann

“…A cascaded speech translation model relies on discrete and non-differentiable transcription, which provides a supervision signal from the source side and helps…”
Get full text

Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation by Bahar, Parnia, Brix, Christopher, Ney, Hermann

“…This work investigates an alternative model for neural machine translation (NMT) and proposes a novel architecture, where we employ a multi-dimensional long…”
Get full text

On using 2D sequence-to-sequence models for speech recognition by Bahar, Parnia, Zeyer, Albert, Schlüter, Ralf, Ney, Hermann

“…Attention-based sequence-to-sequence models have shown promising results in automatic speech recognition. Using these architectures, one-dimensional input and…”
Get full text

On Using SpecAugment for End-to-End Speech Translation by Bahar, Parnia, Zeyer, Albert, Schlüter, Ralf, Ney, Hermann

“…This work investigates a simple data augmentation technique, SpecAugment, for end-to-end speech translation. SpecAugment is a low-cost implementation method…”
Get full text

Machine printed Farsi/Arabic sub-words retrieval by shape signatures by Mozaffari, S., Bahar, P.

“…This paper focuses on shape description for machine printed Farsi/Arabic subwords retrieval. Fourier descriptor (FD) has been used frequently for shape…”
Get full text