Essays about: "Audio Data set"

Showing result 1 - 5 of 46 essays containing the words Audio Data set.

1. 1. Audio Anomaly Detection in Cars

   University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

   Author : Asma Hussein; [2023-09-11]
   Keywords : Audio Anomaly detection; Outlier detection; Machine learning; Mel Frequency; Chroma;

   Abstract : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. READ MORE

3. 2. Recording Bass-Cabinet: Microphone Choice and Microphone Placement

   University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

   Author : Diana Carmona Velazquez; [2023]
   Keywords : audio technology; recording bass; recording; bass; microphone choice; bass-cabinet; microphone placement; rock; ljudteknik; mikrofon val; bas; rock;

   Abstract : Research on microphone choice and placement has been previously made for a variety of instruments, such as drums, vocals, and guitar, to name a few. However, in comparison, very little research has been made on the bass-cabinet. READ MORE

4. 3. “Judge my Spotify” : A user-centred design study exploring content creator mindsets, behaviours and motivations for music sharing on TikTok

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Adrian Bucka; [2023]
   Keywords : Content Analysis; Semi-structured Interviews; Motivation for Music Sharing; Content Creator Mindsets; Design Implications for Music Sharing on TikTok;

   Abstract : The rise of TikTok has revolutionised our interaction with music on social media, altering how we discover and share songs. Artists recognise TikTok's potential as a launchpad for their careers, while music streaming platforms have embraced user-generated content and introduced features for incorporating music into online sharing. READ MORE

5. 4. Impact of GAN methods for theHandwritten Digit Classification inHandwritten Document Images

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Athul Velagapudi; [2023]
   Keywords : Classification; Machine learning; Deep learning; GANS; Feature extrac- tion;

   Abstract : Background: GANs are well-known for their ability to generate realistic fake sample data, which can be audio, images, and videos. The application areas of GANs have increased their popularity in recent years. The first and best feature of GANs is their learning nature, characterized by powerful learning. READ MORE

6. 5. Domain Adaptation with N-gram Language Models for Swedish Automatic Speech Recognition : Using text data augmentation to create domain-specific n-gram models for a Swedish open-source wav2vec 2.0 model

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Viktor Enzell; [2022]
   Keywords : Automatic Speech Recognition; Domain Adaptation; Language Models; Ngram Models; Wav2vec2; Taligenkänning; Domänanpassning; Språkmodeller; N-gramModeller; Wav2vec2;

   Abstract : Automatic Speech Recognition (ASR) enables a wide variety of practical applications. However, many applications have their own domain-specific words, creating a gap between training and test data when used in practice. READ MORE