![]() ![]() – Mighty Blow! – New Brawls Please: this comic takes a look back at one of Bob Bifford’s games against a Khorne team. This regular column remembers those who died, willingly or not, in tribute to the Blood God. – Coffin Corner: plenty of players have lost their heads over the years, pleasing Khorne greatly. – Ask Lord Borak: curious Blood Bowl fans have their questions answered by the fearsome Lord Borak. Find out how he earned the name ‘Spleenripper’ right here. – Star Player Spotlight – Max Spleenripper: innovative and skilled with a chainsaw, Max has become a must-have player in Khorne teams and a household name. Surprising no one, Khorne teams prefer offence. Includes an overview of the strengths of the Khorne team (violence) positions, tactics (enacting violence), how to start out, and how to develop your team over a league, as well as examples of offensive and defensive set-ups. – Eviscerate and Exsanguinate: this is your guide to getting the most out of your skull-loving Marauders. – Dirt From the Dugout: Mindy Piewhistle delivers another steaming hot pile of gossip, this time focussing on the underhanded means the Crimson Butchers have been using to convert rival fans into Khorne worshippers. Includes rules such as a Wrath of Khorne Weather Table, Khornate Kick-off Table, unique post-game sequences, and special rules for the Altar of Khorne Blood Bowl Pitch and Khornate balls. The Cursed Skull Goblet is open to all teams, however each team participating must select one of the four Chaos Gods or Chaos Undivided as their patron. – Chaos Leagues: all-new rules and advice to help you run Chaos Leagues – a variant on the standard Blood Bowl League Season. – Star Player Spotlight – Scyla Anfingrimm: a wrecking ball of muscle on the pitch, Scyla’s unique brand of violence has given him heaps of adoring fans and sponsorship deals despite no one knowing where he came from. – Chat With the Rat: everyone’s favour-best rat Hackspit Quillchewer takes the time to talk to the owner of the Khornate Cripplers, Overlord Kolgan Bloodrage, about their storied rivalry with the Slaaneshi Sidewinders. – Star Player Spotlight – Grashnak Blackhoof: a renowned Blitzer known as “The Great Black Bull” often considered one of the most violent players to ever grace the gridiron. Includes a team profile featuring team colours, honours, Spike! team rating as well as the roster of their famous 2497-2498 squad, and loads more. – The Skull-tribe Slaughterers Team Spotlight: a special in-depth article focusing on one of the few Khorne teams to reach the epiphany that winning games means more chances to claim better quality skulls. this Almanac is the ideal way to catch up on a busy year of Blood Bowl, with rules for four new teams, a whole dugout full of Star Players, and plently more for Blood Bowl. – Famous Khorne Teams: what do Khorne’s Killers, The Bloodsoaked Bruisers, The Flesh Hounds, and The Khornate Cripplers all have in common? They all donated an overwhelming number of skulls to Khorne this season, and they feature in this section covering the many teams that play for blood. A compilation of Spike Journal’s Necromantic Horror, Imperial Nobility & Black Orc, and Khorne issues as well as much, much more The board game specialist. – Blood for the Blood God: delve into the background and history of Khorne teams, the various player positions, Star Players, and a team roster. As such, this magazine is the perfect companion for the savvy (and bloodthirsty) coach. That’s right, it’s a Khorne special, focusing on those who play to appease the god of skulls.Īlongside all the tales of violence, violence, and more violence, you’ll find the fantastic fun and essential commentary you’ve come to expect from Spike! Journal. This delay is the transfer time required.The exceptionally fierce Terrence “the Butcher” Iansson wipes the blood off his hands just long enough to guest edit this issue of Spike! Journal packed with eightfold treats. ![]() Please allow for between 2-10 working days for your order to be available for pickup.
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We used these counties as the top half for all the other elections we looked at, even though the list would be a bit different the further back one goes. Based on the number of votes cast in 2020, 151 of the nation’s 3,100+ counties or county equivalents make up the top half of the nation as a whole. That group of counties becomes the top half, and then whatever is left becomes the bottom half. As a reminder, what we are doing in this series is adding up a state’s or, in this case, the nation’s largest counties until we get to half of the total votes cast. Bush realignment of 2000 was comparable to the Donald Trump realignment of 2016 in widening the gap between the nation’s two halves.Īs part of our ongoing series in comparing the “top halves” to the “bottom halves” of both the nation and individual states, we decided to expand our look at the nation to encompass not just the changes between 20 - which we did in Part One of this series - but also the trajectory of the last quarter century, from Bill Clinton’s second victory in 1996 to Joe Biden’s win in 2020. ![]() bottom halves, 1996-2020Īmong the many things that stand out from a longer-term look at how the nation’s biggest counties vote versus the rest of the country is this: The George W. While there is nearly a 40-point difference between the top and bottom halves, the gap did not grow from 2016-2020. The 20 elections were the biggest contributors to this gap. 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The project encompasses several apps, including the Automatic Speech Recognition app for transcription. Looks like it was actively developed from 2017 to late 2020 but has since been abandoned.įlashlight is a fast, flexible machine learning library written entirely in C++ from the Facebook AI Research and the creators of Torch, TensorFlow, Eigen and Deep Speech. It uses Google's TensorFlow to make the implementation easier. Mozilla DeepSpeech - an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Let's dive in! The ContendersĬoqui STT - this is a fork of Mozilla's DeepSpeech that has been in development since early 2021. along with any other open source transcription projects I could find. Then I randomly stumbled across a tweet about "whisper.cpp" which was a CPU optimized version of Whisper. Both are found in the paper.It was a great holiday project, but once I started traveling again I realized that it was a pain to maintain given that I rarely have access to a beefy CUDA compatible GPU. Meanwhile, more BLEU (Bilingual Evaluation Understudy) scores can be found in Appendix D.3. Additional WER scores corresponding to the other models and datasets can be found in Appendix D.1, D.2, and D.4. The figure below shows a WER (Word Error Rate) breakdown by languages of the Fleurs dataset using the large-v2 model (The smaller the numbers, the better the performance). Whisper's performance varies widely depending on the language. We observed that the difference becomes less significant for the small.en and medium.en models. en models for English-only applications tend to perform better, especially for the tiny.en and base.en models. Below are the names of the available models and their approximate memory requirements and relative speed. There are five model sizes, four with English-only versions, offering speed and accuracy tradeoffs. Pip install setuptools-rust Available models and languages You can download and install (or update to) the latest release of Whisper with the following command: The codebase also depends on a few Python packages, most notably OpenAI's tiktoken for their fast tokenizer implementation. We used Python 3.9.9 and PyTorch 1.10.1 to train and test our models, but the codebase is expected to be compatible with Python 3.8-3.11 and recent PyTorch versions. The multitask training format uses a set of special tokens that serve as task specifiers or classification targets. These tasks are jointly represented as a sequence of tokens to be predicted by the decoder, allowing a single model to replace many stages of a traditional speech-processing pipeline. ApproachĪ Transformer sequence-to-sequence model is trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. Whisper is a general-purpose speech recognition model. ![]() ![]() ![]() ![]() You probably should read them (if you haven’t already). You got it right? we need to agree to some licenses. bash_profile or export them the way you like! export ANDROID_HOME= $HOME/androidĮxport ANDROID_SDK_ROOT= $ Accepting SDK licenses The Android SDK requires some environment variables to be set. 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The site also gives detailed statistics of the test results you get from the test. ![]() But to further improve the test’s accuracy, now does tests through direct Transmission Control Protocol (TCP) sockets and a custom protocol of communication between ISP servers and their clients. As of September of 2018, there are over 21 billion speed tests that have been made and completed by users.īack then, tests were previously made by the use of the Layer 7 HTTP protocol of the OSI model. The tests are typically made on the user’s web browser or the Speedtest by Ookla app itself. In other words, it determines the rate of data transfer from the ISP server to the user’s PC, and then the upload data rate, which is the rate of data transfer from the user’s PC back to the ISP server. 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