Automatic Sentiment Detection in Naturalistic Audio
نویسندگان
چکیده
منابع مشابه
Laughter and filler detection in naturalistic audio
Laughter and fillers are common phenomenon in speech, and play an important role in communication. In this study, we present Deep Neural Network (DNN) and Convolutional Neural Network (CNN) based systems to classify non-verbal cues (laughter and fillers) from verbal speech in naturalistic audio. We propose improvements over a deep learning system proposed in [1]. Particularly, we propose a simp...
متن کاملAutomatic audio sentiment extraction using keyword spotting
Most existing methods for audio sentiment analysis use automatic speech recognition to convert speech to text, and feed the textual input to text-based sentiment classifiers. This study shows that such methods may not be optimal, and proposes an alternate architecture where a single keyword spotting system (KWS) is developed for sentiment detection. In the new architecture, the text-based senti...
متن کاملProf-Life-Log: Audio Environment Detection for Naturalistic Audio Streams
In this study, we develop a new system for real world audio environment matching. Environment detection within unknown audio streams requires a system that operates in an unsupervised manner since it will be faced with unknown environments without prior information. In addition, the overall solution should be computationally efficient for large audio collection. In the proposed approach, a Gaus...
متن کاملAutomatic detection of audio advertisements
Quality control analysts in customer service call centers often search for keywords in call transcripts. Their searches can return an overwhelming number of false positives when the search terms also appear in advertisements that customers hear while they are on hold. This paper presents new methods for detecting advertisements in audio data, so that they can be filtered out. In order to be usa...
متن کاملAutomatic detection of audio events indicating threats
This paper is focused on the area of audio event classification and detection for the purpose of citizens’ security in the urban environment. There are various acoustic/audio events, which occur during the possibly dangerous situations. The main goal of our work was to build a simple audio event detection system trained on a database of recordings and to test the often used approach based on MF...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE/ACM Transactions on Audio, Speech, and Language Processing
سال: 2017
ISSN: 2329-9290,2329-9304
DOI: 10.1109/taslp.2017.2678164