Azure Speech in Foundry Tools | Microsoft Azure
Explore Azure Speech in Foundry Tools(formerly AI Speech) for voice recognition and text to speech. Build multilingual AI apps with customized speech models.
FASA: a Flexible and Automatic Speech Aligner for Extracting High-quality Aligned Children…
Automatic Speech Recognition (ASR) for adults' speeches has made significant progress by employing deep neural network (DNN) models recently, but improvement in children's speech is still unsatisfactory due to children's speech's distinct characteris...
Parts of Speech | Learn English
EnglishClub > Grammar > Parts of Speech Parts of Speech What is a Part of Speech? We can categorize English words into 9 basic types called "parts of speech" or "word classes". It's quite …
Blaizzy/mlx-audio
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon. (⭐ 6165)
Helsinki Speech Challenge 2024
The Helsinki Speech Challenge 2024 (HSC2024) invites researchers to enhance and deconvolve speech audio recordings. We recorded a dataset that challenges participants to apply speech enhancement and inverse problems techniques to recorded speech data...
Brouhaha: multi-task training for voice activity detection, speech-to-noise ratio, and C50…
Most automatic speech processing systems register degraded performance when applied to noisy or reverberant speech. But how can one tell whether speech is noisy or reverberant? We propose Brouhaha, a neural network jointly trained to extract speech/n...
Inappropriate Pause Detection In Dysarthric Speech Using Large-Scale Speech Recognition
Dysarthria, a common issue among stroke patients, severely impacts speech intelligibility. Inappropriate pauses are crucial indicators in severity assessment and speech-language therapy. We propose to extend a large-scale speech recognition model for...
Speech Command + Speech Emotion: Exploring Emotional Speech Commands as a Compound and Pla…
In an era of human-computer interaction with increasingly agentic AI systems capable of connecting with users conversationally, speech is an important modality for commanding agents. By recognizing and using speech emotions (i.e., how a command is sp...
Sidon: Fast and Robust Open-Source Multilingual Speech Restoration for Large-scale Dataset…
Large-scale text-to-speech (TTS) systems are limited by the scarcity of clean, multilingual recordings. We introduce Sidon, a fast, open-source speech restoration model that converts noisy in-the-wild speech into studio-quality speech and scales to d...
Incremental Machine Speech Chain Towards Enabling Listening while Speaking in Real-time
Inspired by a human speech chain mechanism, a machine speech chain framework based on deep learning was recently proposed for the semi-supervised development of automatic speech recognition (ASR) and text-to-speech synthesis TTS) systems. However, th...
Improving child speech recognition with augmented child-like speech
State-of-the-art ASRs show suboptimal performance for child speech. The scarcity of child speech limits the development of child speech recognition (CSR). Therefore, we studied child-to-child voice conversion (VC) from existing child speakers in the...
Adaptation of Whisper models to child speech recognition
Automatic Speech Recognition (ASR) systems often struggle with transcribing child speech due to the lack of large child speech datasets required to accurately train child-friendly ASR models. However, there are huge amounts of annotated adult speech...
Vec-Tok Speech: speech vectorization and tokenization for neural speech generation
Language models (LMs) have recently flourished in natural language processing and computer vision, generating high-fidelity texts or images in various tasks. In contrast, the current speech generative models are still struggling regarding speech qual...
The influence of infant-directed speech on 12-month-olds' intersensory perception of fluen…
The present study examined whether infant-directed (ID) speech facilitates intersensory matching of audio--visual fluent speech in 12-month-old infants. German-learning infantsâ audio--visual matching ability of German and French fluent speech was...
GitHub - openai/whisper: Robust Speech Recognition via Large-Scale …
Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, …
Detection of AI Synthesized Hindi Speech
The recent advancements in generative artificial speech models have made possible the generation of highly realistic speech signals. At first, it seems exciting to obtain these artificially synthesized signals such as speech clones or deep fakes but...
Detection of Hate Speech using BERT and Hate Speech Word Embedding with Deep Model
The enormous amount of data being generated on the web and social media has increased the demand for detecting online hate speech. Detecting hate speech will reduce their negative impact and influence on others. A lot of effort in the Natural Languag...
Hate begets Hate: A Temporal Study of Hate Speech
With the ongoing debate on 'freedom of speech' vs. 'hate speech' there is an urgent need to carefully understand the consequences of the inevitable culmination of the two, i.e., 'freedom of hate speech' over time. An ideal scenario to understand this...
Glossary of policy debate terms - Wikipedia
arguments. In policy debate, the rebuttal speeches are the last four speeches. Unlike the constructive speeches, rebuttal speeches are not followed by a
Lhotse: a speech data representation library for the modern deep learning ecosystem
Speech data is notoriously difficult to work with due to a variety of codecs, lengths of recordings, and meta-data formats. We present Lhotse, a speech data representation library that draws upon lessons learned from Kaldi speech recognition toolkit...