Speaker Identification
Benchmarks
| TREND | DATASET | BEST METHOD | PAPER TITLE | PAPER | CODE | COMPARE |
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Greatest papers with code
Speaker Recognition from Raw Waveform with SincNet
Rather than employing standard hand-crafted features, the latter CNNs learn low-level speech representations from waveforms, potentially allowing the network to better capture important narrow-band speaker characteristics such as pitch and formants.
SPEAKER IDENTIFICATION SPEAKER RECOGNITION SPEAKER VERIFICATION
audino: A Modern Annotation Tool for Audio and Speech
The tool allows audio data to be uploaded and assigned to a user through a key-based API.
ACTION DETECTION ACTIVITY DETECTION EMOTION RECOGNITION SPEAKER IDENTIFICATION SPEECH RECOGNITION
Deep Speaker: an End-to-End Neural Speaker Embedding System
We present Deep Speaker, a neural speaker embedding system that maps utterances to a hypersphere where speaker similarity is measured by cosine similarity.
Generative Pre-Training for Speech with Autoregressive Predictive Coding
• iamyuanchung/Autoregressive-Predictive-Coding
• 
Learning meaningful and general representations from unannotated speech that are applicable to a wide range of tasks remains challenging.
REPRESENTATION LEARNING SPEAKER IDENTIFICATION SPEECH RECOGNITION TRANSFER LEARNING
AutoSpeech: Neural Architecture Search for Speaker Recognition
Speaker recognition systems based on Convolutional Neural Networks (CNNs) are often built with off-the-shelf backbones such as VGG-Net or ResNet.
Ranked #1 on
Speaker Identification
on VoxCeleb1
IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH SPEAKER IDENTIFICATION SPEAKER RECOGNITION SPEAKER VERIFICATION
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length Pairs
By combining these two learning schemes, our model outperforms existing state-of-the-art speaker verification models learned with a standard supervised learning framework on short utterance (1-2 seconds) on the VoxCeleb datasets.
META-LEARNING SPEAKER IDENTIFICATION SPEAKER RECOGNITION SPEAKER VERIFICATION
Speech-VGG: A deep feature extractor for speech processing
While applications of transfer learning are common in the fields of computer vision and natural language processing, audio- and speech processing are surprisingly lacking readily available and transferable models.
LANGUAGE IDENTIFICATION MUSIC CLASSIFICATION REPRESENTATION LEARNING SPEAKER IDENTIFICATION SPEECH ENHANCEMENT TRANSFER LEARNING
Speech2Phone: A Multilingual and Text Independent Speaker Identification Model
In this work, we propose the Speech2Phone and compare several embedding models for open-set speaker identification, as well as traditional closed-set models.
AM-MobileNet1D: A Portable Model for Speaker Recognition
• joaoantoniocn/AM-MobileNet1D
•
To address this demand, we propose a portable model called Additive Margin MobileNet1D (AM-MobileNet1D) to Speaker Identification on mobile devices.
Learning Speaker Representations with Mutual Information
Mutual Information (MI) or similar measures of statistical dependence are promising tools for learning these representations in an unsupervised way.